2018

Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice

Rasouli, Amir, Tsotsos, John K.

Understand

Today, one of the major challenges that autonomous vehicles are facing is the ability to drive in urban environments.

Such a task requires communication between autonomous vehicles and other road users in order to resolve various traffic ambiguities.
The interaction between road users is a form of negotiation in which the parties involved have to share their attention regarding a common objective or a goal (e.g.
crossing an intersection), and coordinate their actions in order to accomplish it.

Built on

Y. Tian, P. Luo, X. Wang, and X. Tang, “Deep learning strong parts for pedestrian detection,” in ICCV , 2015, pp. 1904–1912
1912
Earlier work this paper cites.
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao, “3D shapenets: A deep representation for volumetric shapes,” in CVPR , 2015, pp. 1912–1920
1920
Earlier work this paper cites.
T. Pfister, J. Charles, and A. Zisserman, “Flowing ConvNets for human pose estimation in videos,” in ICCV , 2015, pp. 1913–1921
1921
Earlier work this paper cites.
S. G. Klauer, V. L. Neale, T. A. Dingus, D. Ramsey, and J. Sudweeks, “Driver inattention: A contributing factor to crashes and near-crashes,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting , vol. 49, no. 22. SAGE Publications Sage CA: Los Angeles, CA, 2005, pp. 1922–1926
1926
Earlier work this paper cites.
C. Feichtenhofer, A. Pinz, and A. Zisserman, “Convolutional two-stream network fusion for video action recognition,” in CVPR , 2016, pp. 1933–1941
1941
Earlier work this paper cites.
S. Ma, L. Sigal, and S. Sclaroff, “Learning activity progression in lstms for activity detection and early detection,” in CVPR , 2016, pp. 1942–1950
1950
Earlier work this paper cites.
W. Edwards, “The theory of decision making.” Psychological bulletin , vol. 51, no. 4, p. 380, 1954
1954
Earlier work this paper cites.
M. Lefkowitz, R. R. Blake, and J. S. Mouton, “Status factors in pedestrian violation of traffic signals.” The Journal of Abnormal and Social Psychology , vol. 51, no. 3, p. 704, 1955
1955
Earlier work this paper cites.
H. A. Simon, “Theories of decision-making in economics and behavioral science,” The American economic review , vol. 49, no. 3, pp. 253–283, 1959
1959
Earlier work this paper cites.
“1960 – Stanford Cart – (American),” Online, 2017-05-26. [Online]. Available: http://cyberneticzoo.com/cyberneticanimals/1960-stanford-cart-american/
1960
Earlier work this paper cites.
M. Gheri, “Über das blickverhalten von kraftfahrern an kreuzungen,” Kuratorium für Verkehrssicherheit, Kleine Fachbuchreihe Bd , vol. 5, 1963
1963
Earlier work this paper cites.
A. E. Scheflen, “The significance of posture in communication systems,” Psychiatry , vol. 27, no. 4, pp. 316–331, 1964
1964
Earlier work this paper cites.
M. Argyle and J. Dean, “Eye-contact, distance and affiliation,” Sociometry , pp. 289–304, 1965
1965
Earlier work this paper cites.
C. B. De Soto, M. London, and S. Handel, “Social reasoning and spatial paralogic.” Journal of Personality and Social Psychology , vol. 2, no. 4, p. 513, 1965
1965
Earlier work this paper cites.
N. W. Heimstra, J. Nichols, and G. Martin, “An experimental methodology for analysis of child pedestrian behavior,” Pediatrics , vol. 44, no. 5, pp. 832–838, 1969
1969
Earlier work this paper cites.
D. Johnston, “Road accident casuality: A critique of the literature and an illustrative case,” Ontario: Grand Rounds. Department of Psy chiatry, Hotel Dieu Hospital , 1973
1973
Earlier work this paper cites.
H. Barlow, “Inductive inference, coding, perception, and language,” Perception , vol. 3, no. 2, pp. 123–134, 1974
1974
Earlier work this paper cites.
M. Scaife and J. S. Bruner, “The capacity for joint visual attention in the infant.” Nature , 1975
1975
Earlier work this paper cites.
B. E. Sabey and G. Staughton, “Interacting roles of road environment vehicle and road user in accidents,” Ceste I Mostovi , 1975
1975
Earlier work this paper cites.
L. A. Zadeh, “Fuzzy logic and approximate reasoning,” Synthese , vol. 30, no. 3, pp. 407–428, 1975
1975
Earlier work this paper cites.
A. Mehrabian, Public places and private spaces: the psychology of work, play, and living environments . Basic Books New York, 1976
1976
Earlier work this paper cites.
“De 1977 à nos jours, beaucoup de progrès !” Online, 2017-05-28. [Online]. Available: http://voitureautonome-2014.kazeo.com/de-1977-a-nos-jours-beaucoup-de-progres-a124503004
1977
Earlier work this paper cites.
C. Klienke, “Compliance to requests made by gazing and touching,” J. exp. soc. Psychol. , vol. 13, pp. 218–223, 1977
1977
Earlier work this paper cites.
E. Goffman et al. , The presentation of self in everyday life . Harmondsworth, 1978
1978
Earlier work this paper cites.
R. J. Sternberg, “Toward a unified componential theory of human reasoning.” DTIC Document, Tech. Rep., 1978
1978
Earlier work this paper cites.
P. D. Bardis, “Social interaction and social processes,” Social Science , vol. 54, no. 3, pp. 147–167, 1979
1979
Earlier work this paper cites.
D. Crompton, “Pedestrian delay, annoyance and risk: preliminary results from a 2 years study,” in Proceedings of PTRC Summer Annual Meeting , 1979, pp. 275–299
1979
Earlier work this paper cites.
H. Moravec, “Obstacle avoidance and navigation in the real world by a seeing robot rover.” DTIC Document, Tech. Rep., 1980
1980
Earlier work this paper cites.
G. Butterworth and E. Cochran, “Towards a mechanism of joint visual attention in human infancy,” International Journal of Behavioral Development , vol. 3, no. 3, pp. 253–272, 1980
1980
Earlier work this paper cites.
M. R. DiMatteo, A. Taranta, H. S. Friedman, and L. M. Prince, “Predicting patient satisfaction from physicians’ nonverbal communication skills,” Medical care , pp. 376–387, 1980
1980
Earlier work this paper cites.
G. Wilde, “Immediate and delayed social interaction in road user behaviour,” Applied Psychology , vol. 29, no. 4, pp. 439–460, 1980
1980
Earlier work this paper cites.
R. Davis, “Meta-rules: Reasoning about control,” Artificial intelligence , vol. 15, no. 3, pp. 179–222, 1980
1980
Earlier work this paper cites.
D. C. Dennett, Brainstorms: Philosophical essays on mind and psychology . MIT press, 1981
1981
Earlier work this paper cites.
I. Chakravarty and H. Freeman, “Characteristic views as a basis for three-dimensional object recognition,” representations , vol. 9, p. 10, 1982
1982
Earlier work this paper cites.
H. P. Moravec, “The Stanford Cart and the CMU rover,” Proceedings of the IEEE , vol. 71, no. 7, pp. 872–884, 1983
1983
Earlier work this paper cites.
M. Tomasello and J. Todd, “Joint attention and lexical acquisition style,” First language , vol. 4, no. 12, pp. 197–211, 1983
1983
Earlier work this paper cites.
M. Oshima and Y. Shirai, “Object recognition using three-dimensional information,” PAMI , no. 4, pp. 353–361, 1983
1983
Earlier work this paper cites.
N. Humphrey, Consciousness regained: Chapters in the development of mind . Nicholas Humphrey, 1984
1984
Earlier work this paper cites.
C. C. Hamlet, S. Axelrod, and S. Kuerschner, “Eye contact as an antecedent to compliant behavior,” Journal of Applied Behavior Analysis , vol. 17, no. 4, pp. 553–557, 1984
1984
Earlier work this paper cites.
R. Risser, “Behavior in traffic conflict situations,” Accident Analysis & Prevention , vol. 17, no. 2, pp. 179–197, 1985
1985
Earlier work this paper cites.
P. J. Besl and R. C. Jain, “Three-dimensional object recognition,” ACM Computing Surveys (CSUR) , vol. 17, no. 1, pp. 75–145, 1985
1985
Earlier work this paper cites.
E. D. Dickmanns and A. Zapp, “A curvature-based scheme for improving road vehicle guidance by computer vision,” in Cambridge Symposium_Intelligent Robotics Systems . International Society for Optics and Photonics, 1987, pp. 161–168
1987
Earlier work this paper cites.
B. D. Mysliwetz and E. Dickmanns, “Distributed scene analysis for autonomous road vehicle guidance,” in Robotics and IECON’87 Conferences . International Society for Optics and Photonics, 1987, pp. 72–79
1987
Earlier work this paper cites.
D. Sperber and D. Wilson, “Precis of relevance: Communication and cognition,” Behavioral and brain sciences , vol. 10, no. 4, pp. 697–710, 1987
1987
Earlier work this paper cites.
D. G. Lowe, “Three-dimensional object recognition from single two-dimensional images,” Artificial intelligence , vol. 31, no. 3, pp. 355–395, 1987
1987
Earlier work this paper cites.
J. S. Mitchell, D. W. Payton, and D. M. Keirsey, “Planning and reasoning for autonomous vehicle control,” International Journal of Intelligent Systems , vol. 2, no. 2, pp. 129–198, 1987
1987
Earlier work this paper cites.
Y. Lamdan, J. T. Schwartz, and H. J. Wolfson, “Object recognition by affine invariant matching,” in CVPR . IEEE, 1988, pp. 335–344
1988
Earlier work this paper cites.
L. Cosmides, “The logic of social exchange: Has natural selection shaped how humans reason? studies with the Wason selection task,” Cognition , vol. 31, no. 3, pp. 187–276, 1989
1989
Earlier work this paper cites.
R. M. Byrne and P. N. Johnson-Laird, “Spatial reasoning,” Journal of memory and language , vol. 28, no. 5, pp. 564–575, 1989
1989
Earlier work this paper cites.
C. Radford and D. Houghton, “Vehicle detection in open-world scenes using a Hough transform technique,” in Third International Conference on Image Processing and its Applications . IET, 1989, pp. 78–82
1989
Earlier work this paper cites.
E. D. Dickmanns, B. Mysliwetz, and T. Christians, “An integrated spatio-temporal approach to automatic visual guidance of autonomous vehicles,” IEEE Transactions on Systems, Man, and Cybernetics , vol. 20, no. 6, pp. 1273–1284, 1990
1990
Earlier work this paper cites.
R. A. Brooks, “Elephants don’t play chess,” Robotics and autonomous systems , vol. 6, no. 1-2, pp. 3–15, 1990
1990
Earlier work this paper cites.
J. K. Tsotsos, “Analyzing vision at the complexity level,” Behavioral and brain sciences , vol. 13, no. 3, pp. 423–445, 1990
1990
Earlier work this paper cites.
D. A. Pomerleau, J. Gowdy, and C. E. Thorpe, “Combining artificial neural networks and symbolic processing for autonomous robot guidance,” Engineering Applications of Artificial Intelligence , vol. 4, no. 4, pp. 279–285, 1991
1991
Earlier work this paper cites.
C. Thorpe, M. Herbert, T. Kanade, and S. Shafer, “Toward autonomous driving: the CMU Navlab. i. perception,” IEEE expert , vol. 6, no. 4, pp. 31–42, 1991
1991
Earlier work this paper cites.
W. A. Harrell, “Factors influencing pedestrian cautiousness in crossing streets,” The Journal of Social Psychology , vol. 131, no. 3, pp. 367–372, 1991
1991
Earlier work this paper cites.
M. J. Swain and D. H. Ballard, “Color indexing,” IJCV , vol. 7, no. 1, pp. 11–32, 1991
1991
Earlier work this paper cites.
J. D. Crisman and C. E. Thorpe, “UNSCARF-A color vision system for the detection of unstructured roads,” in ICRA . IEEE, 1991, pp. 2496–2501
1991
Earlier work this paper cites.
A. R. Golding and P. S. Rosenbloom, “Improving rule-based systems through case-based reasoning.” in AAAI , vol. 1, 1991, pp. 22–27
1991
Earlier work this paper cites.
D. Pomerleau, “Progress in neural network-based vision for autonomous robot driving,” in Intelligent VehiclesSymposium (IV) . IEEE, 1992, pp. 391–396
1992
Earlier work this paper cites.
A. U. Frank, “Qualitative spatial reasoning about distances and directions in geographic space,” Journal of Visual Languages & Computing , vol. 3, no. 4, pp. 343–371, 1992
1992
Earlier work this paper cites.
D. Wilkes and J. K. Tsotsos, “Active object recognition,” in CVPR . IEEE, 1992, pp. 136–141
1992
Earlier work this paper cites.
J. Yamato, J. Ohya, and K. Ishii, “Recognizing human action in time-sequential images using hidden markov model,” in CVPR . IEEE, 1992, pp. 379–385
1992
Earlier work this paper cites.
K. Moorman and A. Ram, “A case-based approach to reactive control for autonomous robots,” in Proceedings of the AAAI Fall symposium on AI for real-world autonomous mobile robots , 1992, pp. 1–11
1992
Earlier work this paper cites.
P. Legrenzi, V. Girotto, and P. N. Johnson-Laird, “Focussing in reasoning and decision making,” Cognition , vol. 49, no. 1, pp. 37–66, 1993
1993
Earlier work this paper cites.
J. B. Carroll, Human cognitive abilities: A survey of factor-analytic studies . Cambridge University Press, 1993
1993
Earlier work this paper cites.
K. Rohr, “Incremental recognition of pedestrians from image sequences,” in CVPR . IEEE, 1993, pp. 8–13
1993
Earlier work this paper cites.
D. Bullock, J. Garrett, and C. Hendrickson, “A neural network for image-based vehicle detection,” Transportation Research Part C: Emerging Technologies , vol. 1, no. 3, pp. 235–247, 1993
1993
Earlier work this paper cites.
L. Priese, V. Rehrmann, R. Schian, and R. Lakmann, “Traffic sign recognition based on color image evaluation,” in Proceedings IEEE Intelligent Vehicles Symposium’93 . Citeseer, 1993
1993
Earlier work this paper cites.
K. Kluge, “Extracting road curvature and orientation from image edge points without perceptual grouping into features,” in Intelligent Vehicles Symposium (IV) . IEEE, 1994, pp. 109–114
1994
Earlier work this paper cites.
E. D. Dickmanns, R. Behringer, D. Dickmanns, T. Hildebrandt, M. Maurer, F. Thomanek, and J. Schiehlen, “The seeing passenger car ’VaMoRs-P’,” in Intelligent Vehicles Symposium (IV) . IEEE, 1994, pp. 68–73
1994
Earlier work this paper cites.
U. Franke, S. Mehring, A. Suissa, and S. Hahn, “The Daimler-Benz steering assistant: a spin-off from autonomous driving,” in Intelligent Vehicles Symposium (IV) . IEEE, 1994, pp. 120–124
1994
Earlier work this paper cites.
S. Nowicki and M. P. Duke, “Individual differences in the nonverbal communication of affect: The diagnostic analysis of nonverbal accuracy scale,” Journal of Nonverbal behavior , vol. 18, no. 1, pp. 9–35, 1994
1994
Earlier work this paper cites.
J. Caird and P. Hancock, “The perception of arrival time for different oncoming vehicles at an intersection,” Ecological Psychology , vol. 6, no. 2, pp. 83–109, 1994
1994
Earlier work this paper cites.
L. Vila, “A survey on temporal reasoning in artificial intelligence,” AI Communications , vol. 7, no. 1, pp. 4–28, 1994
1994
Earlier work this paper cites.
S. J. Dickinson, H. I. Christensen, J. Tsotsos, and G. Olofsson, “Active object recognition integrating attention and viewpoint control,” in ECCV . Springer, 1994, pp. 2–14
1994
Earlier work this paper cites.
J. Ohya and F. Kishino, “Human posture estimation from multiple images using genetic algorithm,” in ICPR , vol. 1. IEEE, 1994, pp. 750–753
1994
Earlier work this paper cites.
S. A. Niyogi, E. H. Adelson et al. , “Analyzing and recognizing walking figures in XYT,” in CVPR , vol. 94, 1994, pp. 469–474
1994
Earlier work this paper cites.
I. Watson and F. Marir, “Case-based reasoning: A review,” The knowledge engineering review , vol. 9, no. 4, pp. 327–354, 1994
1994
Earlier work this paper cites.
T. M. Jochem, D. A. Pomerleau, and C. E. Thorpe, “Vision-based neural network road and intersection detection and traversal,” in IROS , vol. 3. IEEE, 1995, pp. 344–349
1995
Earlier work this paper cites.
S. Bohrer, T. Zielke, and V. Freiburg, “An integrated obstacle detection framework for intelligent cruise control on motorways,” in Intelligent Vehicles Symposium (IV) . IEEE, 1995, pp. 276–281
1995
Earlier work this paper cites.
A. M. Parkes, N. J. Ward, and L. Bossi, “The potential of vision enhancement systems to improve driver safety,” Le Travail Humain , vol. 58, no. 2, p. 151, 1995
1995
Earlier work this paper cites.
S. Baron-Cohen, “Mindblindness: An essay on autism and theory of mind. cambridge, ma: Bradford,” 1995
1995
Earlier work this paper cites.
N. J. Briton and J. A. Hall, “Beliefs about female and male nonverbal communication,” Sex Roles , vol. 32, no. 1, pp. 79–90, 1995
1995
Earlier work this paper cites.
D. Clay, “Driver attitude and attribution: implications for accident prevention,” Ph.D. dissertation, Cranfield University, 1995
1995
Earlier work this paper cites.
R. Baillargeon, “Physical reasoning in infancy,” The cognitive neurosciences , pp. 181–204, 1995
1995
Earlier work this paper cites.
J. K. Tsotsos, “Toward a computational model of visual attention,” in Early vision and beyond . MIT Press, Cambridge, MA, 1995, pp. 207–218
1995
Earlier work this paper cites.
C. A. Richards, C. E. Smith, and N. P. Papanikolopoulos, “Vision-based intelligent control of transportation systems,” in the IEEE International Symposium on Intelligent Control . IEEE, 1995, pp. 519–524
1995
Earlier work this paper cites.
N. Kehtarnavaz and A. Ahmad, “Traffic sign recognition in noisy outdoor scenes,” in Intelligent Vehicles Symposium (IV) . IEEE, 1995, pp. 460–465
1995
Earlier work this paper cites.
A. Broggi and S. Berte, “Vision-based road detection in automotive systems: A real-time expectation-driven approach,” Journal of Artificial Intelligence Research , vol. 3, pp. 325–348, 1995
1995
Earlier work this paper cites.
D. A. Pomerleau, “Neural network vision for robot driving,” in The Handbook of Brain Theory and Neural Networks . Citeseer, 1996
1996
Earlier work this paper cites.
S. Baluja, “Evolution of an artificial neural network based autonomous land vehicle controller,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) , vol. 26, no. 3, pp. 450–463, 1996
1996
Earlier work this paper cites.
R. M. Krauss, Y. Chen, and P. Chawla, “Nonverbal behavior and nonverbal communication: What do conversational hand gestures tell us?” Advances in experimental social psychology , vol. 28, pp. 389–450, 1996
1996
Earlier work this paper cites.
R. R. Oudejans, C. F. Michaels, B. van Dort, and E. J. Frissen, “To cross or not to cross: The effect of locomotion on street-crossing behavior,” Ecological psychology , vol. 8, no. 3, pp. 259–267, 1996
1996
Earlier work this paper cites.
B. Scassellati, “Mechanisms of shared attention for a humanoid robot,” in Embodied Cognition and Action: Papers from the 1996 AAAI Fall Symposium , vol. 4, no. 9, 1996, p. 21
1996
Earlier work this paper cites.
S. A. Nene, S. K. Nayar, H. Murase et al. , “Columbia object image library (COIL-20),” 1996
1996
Earlier work this paper cites.
M. Betke, E. Haritaoglu, and L. S. Davis, “Multiple vehicle detection and tracking in hard real-time,” in Intelligent Vehicles Symposium (IV) . IEEE, 1996, pp. 351–356
1996
Earlier work this paper cites.
L. W. Campbell, D. A. Becker, A. Azarbayejani, A. F. Bobick, and A. Pentland, “Invariant features for 3-d gesture recognition,” in Proceedings of the Second International Conference on Automatic Face and Gesture Recognition . IEEE, 1996, pp. 157–162
1996
Earlier work this paper cites.
C. Moore, M. Angelopoulos, and P. Bennett, “The role of movement in the development of joint visual attention,” Infant Behavior and Development , vol. 20, no. 1, pp. 83–92, 1997
1997
Earlier work this paper cites.
P. Mundy and M. Crowson, “Joint attention and early social communication: Implications for research on intervention with autism,” Journal of Autism and Developmental disorders , vol. 27, no. 6, pp. 653–676, 1997
1997
Earlier work this paper cites.
A. G. Cohn, “Qualitative spatial representation and reasoning techniques,” in Annual Conference on Artificial Intelligence . Springer, 1997, pp. 1–30
1997
Earlier work this paper cites.
M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, and T. Poggio, “Pedestrian detection using wavelet templates,” in CVPR , 1997, pp. 193–99
1997
Earlier work this paper cites.
M. Oren, C. Papageorgiou, P. Shinha, E. Osuna, and T. Poggio, “A trainable system for people detection,” in Proceedings of Image Understanding Workshop , vol. 24, 1997
1997
Earlier work this paper cites.
M. Bertozzi, A. Broggi, and S. Castelluccio, “A real-time oriented system for vehicle detection,” Journal of Systems Architecture , vol. 43, no. 1-5, pp. 317–325, 1997
1997
Earlier work this paper cites.
A. De La Escalera, L. E. Moreno, M. A. Salichs, and J. M. Armingol, “Road traffic sign detection and classification,” IEEE transactions on industrial electronics , vol. 44, no. 6, pp. 848–859, 1997
1997
Earlier work this paper cites.
M. Carpenter, K. Nagell, M. Tomasello, G. Butterworth, and C. Moore, “Social cognition, joint attention, and communicative competence from 9 to 15 months of age,” Monographs of the society for research in child development , pp. i–174, 1998
1998
Earlier work this paper cites.
P. Mundy and A. Gomes, “Individual differences in joint attention skill development in the second year,” Infant behavior and development , vol. 21, no. 3, pp. 469–482, 1998
1998
Earlier work this paper cites.
C. Darwin, The expression of the emotions in man and animals . Oxford University Press, USA, 1998
1998
Earlier work this paper cites.
A. Varhelyi, “Drivers’ speed behaviour at a zebra crossing: a case study,” Accident Analysis & Prevention , vol. 30, no. 6, pp. 731–743, 1998
1998
Earlier work this paper cites.
J. S. Sichman, R. Conte, Y. Demazeau, and C. Castelfranchi, “A social reasoning mechanism based on dependence networks,” in Proceedings of 11th European Conference on Artificial Intelligence , 1998, pp. 416–420
1998
Earlier work this paper cites.
R. D. Wright, Visual attention . Oxford University Press, 1998
1998
Earlier work this paper cites.
H. Kozima and A. Ito, “An attention-based approach to symbol acquisition,” in Intelligent Control (ISIC) Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS) . IEEE, 1998, pp. 852–856
1998
Earlier work this paper cites.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,” Proceedings of the IEEE , vol. 86, no. 11, pp. 2278–2324, 1998
1998
Earlier work this paper cites.
M. Pontil and A. Verri, “Support vector machines for 3D object recognition,” PAMI , vol. 20, no. 6, pp. 637–646, 1998
1998
Earlier work this paper cites.
D. Beckwith and K. Hunter-Zaworski, “Passive pedestrian detection at unsignalized crossings,” Transportation Research Record: Journal of the Transportation Research Board , no. 1636, pp. 96–103, 1998
1998
Earlier work this paper cites.
C. Wöhler, J. K. Anlauf, T. Pörtner, and U. Franke, “A time delay neural network algorithm for real-time pedestrian recognition,” in International Conference on Intelligent Vehicle . Citeseer, 1998
1998
Earlier work this paper cites.
S. J. McKenna and S. Gong, “Real-time face pose estimation,” Real-Time Imaging , vol. 4, no. 5, pp. 333–347, 1998
1998
Earlier work this paper cites.
L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visua attention for rapid scene analysis,” Pattern Analysis and Machine Intelligence , vol. 20, no. 11, pp. 1254–1259, 1998
1998
Earlier work this paper cites.
A. Broggi, M. Bertozzi, A. Fascioli, C. G. L. Bianco, and A. Piazzi, “The argo autonomous vehicle’s vision and control systems,” International Journal of Intelligent Control and Systems , vol. 3, no. 4, pp. 409–441, 1999
1999
Earlier work this paper cites.
M. A. Hecht and N. Ambady, “Nonverbal communication and psychology: Past and future,” Atlantic Journal of Communication , vol. 7, no. 2, pp. 156–170, 1999
1999
Earlier work this paper cites.
D. Crundall, “Driving experience and the acquisition of visual information,” Ph.D. dissertation, University of Nottingham, 1999
1999
Earlier work this paper cites.
B. Scassellati, “Imitation and mechanisms of joint attention: A developmental structure for building social skills on a humanoid robot,” pp. 176–195, 1999
1999
Earlier work this paper cites.
B. Scassellati, “Knowing what to imitate and knowing when you succeed,” in Proceedings of the AISB’99 Symposium on Imitation in Animals and Artifacts , 1999, pp. 105–113
1999
Earlier work this paper cites.
C. Breazeal and J. Velasquez, “Robot in society: Friend or appliance,” in Proceedings of the 1999 Autonomous Agents Workshop on Emotion-Based Agent Architectures , 1999, pp. 18–26
1999
Earlier work this paper cites.
R. A. Brooks, C. Breazeal, M. Marjanović, B. Scassellati, and M. M. Williamson, “The Cog project: Building a humanoid robot,” in Computation for metaphors, analogy, and agents . Springer, 1999, pp. 52–87
1999
Earlier work this paper cites.
A. Billard and K. Dautenhahn, “Experiments in learning by imitation-grounding and use of communication in robotic agents,” Adaptive behavior , vol. 7, no. 3-4, pp. 415–438, 1999
1999
Earlier work this paper cites.
K. Dautenhahn and A. Billard, “Studying robot social cognition within a developmental psychology framework,” in Advanced Mobile Robots, 1999.(Eurobot’99) 1999 Third European Workshop on . IEEE, 1999, pp. 187–194
1999
Earlier work this paper cites.
C. Papageorgiou and T. Poggio, “A trainable object detection system: Car detection in static images,” mitai, Tech. Rep. 1673, Oct. 1999
1999
Earlier work this paper cites.
A. E. Johnson and M. Hebert, “Using spin images for efficient object recognition in cluttered 3D scenes,” PAMI , vol. 21, no. 5, pp. 433–449, 1999
1999
Earlier work this paper cites.
T. Gevers and A. W. Smeulders, “Color-based object recognition,” Pattern recognition , vol. 32, no. 3, pp. 453–464, 1999
1999
Earlier work this paper cites.
D. G. Lowe, “Object recognition from local scale-invariant features,” in ICCV , vol. 2. Ieee, 1999, pp. 1150–1157
1999
Earlier work this paper cites.
D. M. Gavrila and V. Philomin, “Real-time object detection for “ smart”
1999
Earlier work this paper cites.
C. P. Papageorgiou and T. Poggio, “A trainable object detection system: Car detection in static images,” 1999
1999
Earlier work this paper cites.
R. K. Cave, “The featuregate model of visual selection,” Psychological research , vol. 62, no. 2-3, pp. 182–194, 1999
1999
Earlier work this paper cites.
R. Bishop, “Intelligent vehicle applications worldwide,” IEEE Intelligent Systems and Their Applications , vol. 15, no. 1, pp. 78–81, 2000
2000
Earlier work this paper cites.
T. Hong, M. Abrams, T. Chang, and M. Shneier, “An intelligent world model for autonomous off-road driving,” CVIU , 2000
2000
Earlier work this paper cites.
T. Charman, S. Baron-Cohen, J. Swettenham, G. Baird, A. Cox, and A. Drew, “Testing joint attention, imitation, and play as infancy precursors to language and theory of mind,” Cognitive development , vol. 15, no. 4, pp. 481–498, 2000
2000
Earlier work this paper cites.
J. M. Price and S. J. Glynn, “The relationship between crash rates and drivers’ hazard assessments using the connecticut photolog,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting , vol. 44, no. 20. SAGE Publications, 2000, pp. 3–263
2000
Earlier work this paper cites.
D. Yagil, “Beliefs, motives and situational factors related to pedestrians’ self-reported behavior at signal-controlled crossings,” Transportation Research Part F: Traffic Psychology and Behaviour , vol. 3, no. 1, pp. 1–13, 2000
2000
Earlier work this paper cites.
K. Dautenhahn and I. Werry, “Issues of robot-human interaction dynamics in the rehabilitation of children with autism,” Proceedings From animals to animats , vol. 6, pp. 519–528, 2000
2000
Earlier work this paper cites.
H. Kozima and J. Zlatev, “An epigenetic approach to human-robot communication,” in 9th IEEE International Workshop on Robot and Human Interactive Communication . IEEE, 2000, pp. 346–351
2000
Earlier work this paper cites.
M. Bertozzi, A. Broggi, and A. Fascioli, “Vision-based intelligent vehicles: State of the art and perspectives,” Robotics and Autonomous systems , vol. 32, no. 1, pp. 1–16, 2000
2000
Earlier work this paper cites.
H. Schneiderman and T. Kanade, “A statistical method for 3d object detection applied to faces and cars,” in CVPR , vol. 1. IEEE, 2000, pp. 746–751
2000
Earlier work this paper cites.
C. Papageorgiou and T. Poggio, “A trainable system for object detection,” International Journal of Computer Vision , vol. 38, no. 1, pp. 15–33, 2000
2000
Earlier work this paper cites.
A. Broggi, M. Bertozzi, A. Fascioli, and M. Sechi, “Shape-based pedestrian detection,” in Intelligent Vehicles Symposium (IV) . IEEE, 2000, pp. 215–220
2000
Earlier work this paper cites.
M. Bertozzi, A. Broggi, A. Fascioli, and S. Nichele, “Stereo vision-based vehicle detection,” in Intelligent Vehicles Symposium (IV) . IEEE, 2000, pp. 39–44
2000
Earlier work this paper cites.
P. Paclık and J. Novovicova, “Road sign classification without color information,” in the 6th Annual Conference of the Advanced School for Computing and Imaging , 2000
2000
Earlier work this paper cites.
C. Curio, J. Edelbrunner, T. Kalinke, C. Tzomakas, and W. Von Seelen, “Walking pedestrian recognition,” IEEE Transactions on intelligent transportation systems (ITS) , vol. 1, no. 3, pp. 155–163, 2000
2000
Earlier work this paper cites.
R. Cucchiara, M. Piccardi, and P. Mello, “Image analysis and rule-based reasoning for a traffic monitoring system,” ITSC , vol. 1, no. 2, pp. 119–130, 2000
2000
Earlier work this paper cites.
M. A. Umilta, E. Kohler, V. Gallese, L. Fogassi, L. Fadiga, C. Keysers, and G. Rizzolatti, “I know what you are doing: A neurophysiological study,” Neuron , vol. 31, no. 1, pp. 155–165, 2001
2001
Earlier work this paper cites.
M. Oaksford and N. Chater, “The probabilistic approach to human reasoning,” Trends in cognitive sciences , vol. 5, no. 8, pp. 349–357, 2001
2001
Earlier work this paper cites.
H. R. Fischer, “Abductive reasoning as a way of worldmaking,” Foundations of Science , vol. 6, no. 4, pp. 361–383, 2001
2001
Earlier work this paper cites.
A. Pani and G. Bhattacharjee, “Temporal representation and reasoning in artificial intelligence: A review,” Mathematical and Computer Modelling , vol. 34, no. 1-2, pp. 55–80, 2001
2001
Earlier work this paper cites.
H. Ishiguro, T. Ono, M. Imai, T. Maeda, T. Kanda, and R. Nakatsu, “Robovie: An interactive humanoid robot,” Industrial robot: An international journal , vol. 28, no. 6, pp. 498–504, 2001
2001
Earlier work this paper cites.
H. Kozima and H. Yano, “A robot that learns to communicate with human caregivers,” in Proceedings of the First International Workshop on Epigenetic Robotics , 2001, pp. 47–52
2001
Earlier work this paper cites.
S.-W. Lee and K. Mase, “Recognition of walking behaviors for pedestrian navigation,” in International Conference on Control Applications . IEEE, 2001, pp. 1152–1155
2001
Earlier work this paper cites.
S. Belongie, J. Malik, and J. Puzicha, “Shape context: A new descriptor for shape matching and object recognition,” in Advances in neural information processing systems , 2001, pp. 831–837
2001
Earlier work this paper cites.
P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in CVPR , vol. 1. IEEE, 2001, pp. I–I
2001
Earlier work this paper cites.
A. F. Bobick and J. W. Davis, “The recognition of human movement using temporal templates,” PAMI , vol. 23, no. 3, pp. 257–267, 2001
2001
Earlier work this paper cites.
T. Fraichard and P. Garnier, “Fuzzy control to drive car-like vehicles,” Robotics and autonomous systems , vol. 34, no. 1, pp. 1–22, 2001
2001
Earlier work this paper cites.
D. Sun, S. Ukkusuri, R. F. Benekohal, and S. T. Waller, “Modeling of motorist-pedestrian interaction at uncontrolled mid-block crosswalks,” Urbana , vol. 51, p. 61801, 2002
2002
Earlier work this paper cites.
K. Verfaillie and A. Daems, “Representing and anticipating human actions in vision,” Visual Cognition , vol. 9, no. 1-2, pp. 217–232, 2002
2002
Earlier work this paper cites.
R. Buck and C. A. VanLear, “Verbal and nonverbal communication: Distinguishing symbolic, spontaneous, and pseudo-spontaneous nonverbal behavior,” Journal of Communication , vol. 52, no. 3, pp. 522–541, 2002
2002
Earlier work this paper cites.
Y. Nagai, M. Asada, and K. Hosoda, “Developmental learning model for joint attention,” in IROS , vol. 1. IEEE, 2002, pp. 932–937
2002
Earlier work this paper cites.
S. W. Lee and K. Mase, “Activity and location recognition using wearable sensors,” IEEE pervasive computing , vol. 1, no. 3, pp. 24–32, 2002
2002
Earlier work this paper cites.
S. Agarwal and D. Roth, “Learning a sparse representation for object detection,” in ECCV . Springer, 2002, pp. 113–127
2002
Earlier work this paper cites.
R. Lienhart and J. Maydt, “An extended set of Haar-like features for rapid object detection,” in International Conference on Image Processing , vol. 1. IEEE, 2002, pp. I–I
2002
Earlier work this paper cites.
K. C. Fuerstenberg, K. C. Dietmayer, and V. Willhoeft, “Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner,” in Intelligent Vehicle Symposium (IV) , vol. 1. IEEE, 2002, pp. 31–35
2002
Earlier work this paper cites.
H. Nanda and L. Davis, “Probabilistic template based pedestrian detection in infrared videos,” in Intelligent Vehicle Symposium (IV) , vol. 1. IEEE, 2002, pp. 15–20
2002
Earlier work this paper cites.
S. Gupte, O. Masoud, R. F. Martin, and N. P. Papanikolopoulos, “Detection and classification of vehicles,” IEEE Transactions on intelligent transportation systems , vol. 3, no. 1, pp. 37–47, 2002
2002
Earlier work this paper cites.
J. Ng and S. Gong, “Composite support vector machines for detection of faces across views and pose estimation,” Image and Vision Computing , vol. 20, no. 5, pp. 359–368, 2002
2002
Earlier work this paper cites.
EC Funded CAVIAR project, “Caviar: Context aware vision using image-based active recognition,” http://homepages.inf.ed.ac.uk/rbf/CAVIARDATA1/, 2002
2002
Earlier work this paper cites.
Y. U. Yim and S.-Y. Oh, “Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving,” IEEE Transactions on Intelligent Transportation Systems , vol. 4, no. 4, pp. 219–225, 2003
2003
Earlier work this paper cites.
M. Kumashiro, H. Ishibashi, Y. Uchiyama, S. Itakura, A. Murata, and A. Iriki, “Natural imitation induced by joint attention in Japanese monkeys,” International Journal of Psychophysiology , vol. 50, no. 1, pp. 81–99, 2003
2003
Earlier work this paper cites.
J. R. Flanagan and R. S. Johansson, “Action plans used in action observation,” Nature , vol. 424, no. 6950, p. 769, 2003
2003
Earlier work this paper cites.
G. Underwood, P. Chapman, N. Brocklehurst, J. Underwood, and D. Crundall, “Visual attention while driving: Sequences of eye fixations made by experienced and novice drivers,” Ergonomics , vol. 46, no. 6, pp. 629–646, 2003
2003
Earlier work this paper cites.
T. Fong, I. Nourbakhsh, and K. Dautenhahn, “A survey of socially interactive robots,” Robotics and autonomous systems , vol. 42, no. 3, pp. 143–166, 2003
2003
Earlier work this paper cites.
M. Imai, T. Ono, and H. Ishiguro, “Physical relation and expression: Joint attention for human-robot interaction,” IEEE Transactions on Industrial Electronics , vol. 50, no. 4, pp. 636–643, 2003
2003
Earlier work this paper cites.
Y. Nagai, K. Hosoda, and M. Asada, “How does an infant acquire the ability of joint attention?: A constructive approach,” 2003
2003
Earlier work this paper cites.
R. Fergus, P. Perona, and A. Zisserman, “Object class recognition by unsupervised scale-invariant learning,” in CVPR , vol. 2. IEEE, 2003, pp. II–II
2003
Earlier work this paper cites.
A. Torralba, K. P. Murphy, W. T. Freeman, and M. A. Rubin, “Context-based vision system for place and object recognition,” in ICCV . IEEE, 2003, p. 273
2003
Earlier work this paper cites.
M. Bertozzi, A. Broggi, R. Chapuis, F. Chausse, A. Fascioli, and A. Tibaldi, “Shape-based pedestrian detection and localization,” in Intelligent Transportation Systems (ITSC) , vol. 1. IEEE, 2003, pp. 328–333
2003
Earlier work this paper cites.
A. De la Escalera, J. M. Armingol, and M. Mata, “Traffic sign recognition and analysis for intelligent vehicles,” Image and vision computing , vol. 21, no. 3, pp. 247–258, 2003
2003
Earlier work this paper cites.
L. Wang, T. Tan, H. Ning, and W. Hu, “Silhouette analysis-based gait recognition for human identification,” PAMI , vol. 25, no. 12, pp. 1505–1518, 2003
2003
Earlier work this paper cites.
J. Liu, J. Luo, and M. Shah, “Recognizing realistic actions from videos “in the wild”,” in CVPR . IEEE, 2009, pp. 1996–2003
2003
Earlier work this paper cites.
E. Ueda, Y. Matsumoto, M. Imai, and T. Ogasawara, “A hand-pose estimation for vision-based human interfaces,” IEEE Transactions on Industrial Electronics , vol. 50, no. 4, pp. 676–684, 2003
2003
Earlier work this paper cites.
A. A. Efros, A. C. Berg, G. Mori, and J. Malik, “Recognizing action at a distance,” in ICCV . IEEE, 2003, p. 726
2003
Earlier work this paper cites.
S. Park and J. Aggarwal, “Recognition of two-person interactions using a hierarchical bayesian network,” in First ACM SIGMM international workshop on Video surveillance . ACM, 2003, pp. 65–76
2003
Earlier work this paper cites.
R. Behringer, S. Sundareswaran, B. Gregory, R. Elsley, B. Addison, W. Guthmiller, R. Daily, and D. Bevly, “The DARPA grand challenge-development of an autonomous vehicle,” in Intelligent Vehicles Symposium (IV) . IEEE, 2004, pp. 226–231
2004
Earlier work this paper cites.
W. V. Dube, R. P. MacDonald, R. C. Mansfield, W. L. Holcomb, and W. H. Ahearn, “Toward a behavioral analysis of joint attention,” The Behavior Analyst , vol. 27, no. 2, p. 197, 2004
2004
Earlier work this paper cites.
T. Rosenbloom, H. Barkan, and D. Nemrodov, “For heaven’s sake keep the rules: Pedestrians’ behavior at intersections in ultra-orthodox and secular cities,” Transportation Research Part F , vol. 7, pp. 395–404, 2004
2004
Earlier work this paper cites.
D. Miyauchi, A. Sakurai, A. Nakamura, and Y. Kuno, “Active eye contact for human-robot communication,” in CHI’04 Extended Abstracts on Human Factors in Computing Systems . ACM, 2004, pp. 1099–1102
2004
Earlier work this paper cites.
M. Ito and J. Tani, “Joint attention between a humanoid robot and users in imitation game,” in the International Conference on Development and Learning (ICDL) , 2004
2004
Earlier work this paper cites.
H. Kozima, C. Nakagawa, and H. Yano, “Can a robot empathize with people?” Artificial life and robotics , vol. 8, no. 1, pp. 83–88, 2004
2004
Earlier work this paper cites.
A. Ito, S. Hayakawa, and T. Terada, “Why robots need body for mind communication-an attempt of eye-contact between human and robot,” in IEEE International Workshop on Robot and Human Interactive Communication . IEEE, 2004, pp. 473–478
2004
Earlier work this paper cites.
E. M. Tapia, S. S. Intille, and K. Larson, “Activity recognition in the home using simple and ubiquitous sensors,” in Pervasive , vol. 4. Springer, 2004, pp. 158–175
2004
Earlier work this paper cites.
L. Bao and S. Intille, “Activity recognition from user-annotated acceleration data,” Pervasive computing , pp. 1–17, 2004
2004
Earlier work this paper cites.
A. Torralba, K. P. Murphy, and W. T. Freeman, “Sharing features: efficient boosting procedures for multiclass object detection,” in CVPR , vol. 2. IEEE, 2004, pp. II–II
2004
Earlier work this paper cites.
D. Lowe, “Distinctive image features from scale-invariant keypoints,” IJCV , vol. 60, no. 2, pp. 91–110, 2004
2004
Earlier work this paper cites.
Y. He, H. Wang, and B. Zhang, “Color-based road detection in urban traffic scenes,” IEEE Transactions on Intelligent Transportation Systems , vol. 5, no. 4, pp. 309–318, 2004
2004
Earlier work this paper cites.
C. Schuldt, I. Laptev, and B. Caputo, “Recognizing human actions: A local SVM approach,” in ICPR , vol. 3. IEEE, 2004, pp. 32–36
2004
Earlier work this paper cites.
A. Agarwal and B. Triggs, “3D human pose from silhouettes by relevance vector regression,” in CVPR , vol. 2. IEEE, 2004, pp. II–II
2004
Earlier work this paper cites.
P. Holth, “An operant analysis of joint attention skills.” Journal of Early and Intensive Behavior Intervention , vol. 2, no. 3, p. 160, 2005
2005
Earlier work this paper cites.
L. Fogassi, P. F. Ferrari, B. Gesierich, S. Rozzi, F. Chersi, and G. Rizzolatti, “Parietal lobe: from action organization to intention understanding,” Science , vol. 308, no. 5722, pp. 662–667, 2005
2005
Earlier work this paper cites.
V. L. Neale, T. A. Dingus, S. G. Klauer, J. Sudweeks, and M. Goodman, “An overview of the 100-car naturalistic study and findings,” National Highway Traffic Safety Administration, Paper , no. 05-0400, 2005
2005
Earlier work this paper cites.
G. M. Björklund and L. Åberg, “Driver behaviour in intersections: Formal and informal traffic rules,” Transportation Research Part F: Traffic Psychology and Behaviour , vol. 8, no. 3, pp. 239–253, 2005
2005
Earlier work this paper cites.
M. Klenk, K. D. Forbus, E. Tomai, H. Kim, and B. Kyckelhahn, “Solving everyday physical reasoning problems by analogy using sketches,” in National Conference on Artificial Intelligence , vol. 20, no. 1, 2005, p. 209
2005
Earlier work this paper cites.
C. Breazeal and R. Brooks, “Robot emotion: A functional perspective,” Who needs emotions , pp. 271–310, 2005
2005
Earlier work this paper cites.
C. Breazeal, C. D. Kidd, A. L. Thomaz, G. Hoffman, and M. Berlin, “Effects of nonverbal communication on efficiency and robustness in human-robot teamwork,” in IROS . IEEE, 2005, pp. 708–713
2005
Earlier work this paper cites.
A. Haasch, N. Hofemann, J. Fritsch, and G. Sagerer, “A multi-modal object attention system for a mobile robot,” in IROS . IEEE, 2005, pp. 2712–2717
2005
Earlier work this paper cites.
H. Kozima, C. Nakagawa, and Y. Yasuda, “Interactive robots for communication-care: A case-study in autism therapy,” in IEEE International Workshop on Robot and Human Interactive Communication . IEEE, 2005, pp. 341–346
2005
Earlier work this paper cites.
B. U. Toreyin, Y. Dedeoglu, and A. E. Çetin, “HMM based falling person detection using both audio and video,” Lecture Notes in Computer Science , vol. 3766, p. 211, 2005
2005
Earlier work this paper cites.
J. Winn, A. Criminisi, and T. Minka, “Object categorization by learned universal visual dictionary,” in ICCV , vol. 2. IEEE, 2005, pp. 1800–1807
2005
Earlier work this paper cites.
N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” in CVPR , vol. 1. IEEE, 2005, pp. 886–893
2005
Earlier work this paper cites.
M. Bertozzi, E. Binelli, A. Broggi, and M. Rose, “Stereo vision-based approaches for pedestrian detection,” in CVPR . IEEE, 2005, pp. 16–16
2005
Earlier work this paper cites.
Z. Sun, G. Bebis, and R. Miller, “On-road vehicle detection using evolutionary Gabor filter optimization,” IEEE Transactions on Intelligent Transportation Systems , vol. 6, no. 2, pp. 125–137, 2005
2005
Earlier work this paper cites.
M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri, “Actions as space-time shapes,” in ICCV , 2005, pp. 1395–1402
2005
Earlier work this paper cites.
M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri, “Actions as space-time shapes,” in ICCV , vol. 2. IEEE, 2005, pp. 1395–1402
2005
Earlier work this paper cites.
T. Dang, S. Kammel, C. Duchow, B. Hummel, and C. Stiller, “Path planning for autonomous driving based on stereoscopic and monoscopic vision cues,” in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems . IEEE, 2006, pp. 191–196
2006
Earlier work this paper cites.
S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, G. Hoffmann et al. , “Stanley: The robot that won the DARPA grand challenge,” Journal of field Robotics , vol. 23, no. 9, pp. 661–692, 2006
2006
Earlier work this paper cites.
S. Thrun, M. Montemerlo, and A. Aron, “Probabilistic terrain analysis for high-speed desert driving.” in Robotics: Science and Systems , 2006, pp. 16–19
2006
Earlier work this paper cites.
R. MacDonald, J. Anderson, W. V. Dube, A. Geckeler, G. Green, W. Holcomb, R. Mansfield, and J. Sanchez, “Behavioral assessment of joint attention: A methodological report,” Research in Developmental Disabilities , vol. 27, no. 2, pp. 138–150, 2006
2006
Earlier work this paper cites.

Similar

N. Sebanz, H. Bekkering, and G. Knoblich, “Joint action: Bodies and minds moving together,” Trends in cognitive sciences , vol. 10, no. 2, pp. 70–76, 2006
2006
Cited alongside, same era.
A. Aliseda, Abductive reasoning . Springer, 2006, vol. 330
2006
Cited alongside, same era.
S. G. Klauer, T. A. Dingus, V. L. Neale, J. D. Sudweeks, D. J. Ramsey et al. , “The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data,” 2006
2006
Cited alongside, same era.
M. Shiomi, T. Kanda, H. Ishiguro, and N. Hagita, “Interactive humanoid robots for a science museum,” in Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction (HRI) . ACM, 2006, pp. 305–312
2006
Cited alongside, same era.
L. Fei-Fei, R. Fergus, and P. Perona, “One-shot learning of object categories,” PAMI , vol. 28, no. 4, pp. 594–611, 2006
2006
Cited alongside, same era.
E. M., A. Zisserman, C. K. I. Williams, and L. Van Gool, “The PASCAL Visual Object Classes Challenge 2006 (VOC2006) Results,” http://www.pascal-network.org/challenges/VOC/voc2006/results.pdf
2006
Cited alongside, same era.
S. M. Bileschi, “Streetscenes: Towards scene understanding in still images,” MASSACHUSETTS INST OF TECH CAMBRIDGE, Tech. Rep., 2006
2006
Cited alongside, same era.
S. Munder and D. M. Gavrila, “An experimental study on pedestrian classification,” IEEE transactions on pattern analysis and machine intelligence , vol. 28, no. 11, pp. 1863–1868, 2006
2006
Cited alongside, same era.
N. Dalal, B. Triggs, and C. Schmid, “Human detection using oriented histograms of flow and appearance,” in ECCV . Springer, 2006, pp. 428–441
2006
Cited alongside, same era.
Z. Sun, G. Bebis, and R. Miller, “On-road vehicle detection: A review,” IEEE transactions on pattern analysis and machine intelligence , vol. 28, no. 5, pp. 694–711, 2006
2006
Cited alongside, same era.
H. Dahlkamp, A. Kaehler, D. Stavens, S. Thrun, and G. R. Bradski, “Self-supervised monocular road detection in desert terrain.” in Robotics: science and systems , vol. 38. Philadelphia, 2006
2006
Cited alongside, same era.
D. Weinland, R. Ronfard, and E. Boyer, “Free viewpoint action recognition using motion history volumes,” CVIU , vol. 104, no. 2, pp. 249–257, 2006
2006
Cited alongside, same era.

Then

B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva, “Learning deep features for scene recognition using places database,” in Advances in neural information processing systems , 2014, pp. 487–495
2014
Later among the works it cites.
T. Scharwächter, M. Enzweiler, U. Franke, and S. Roth, “Stixmantics: A medium-level model for real-time semantic scene understanding,” in ECCV . Springer, 2014, pp. 533–548
2014
Later among the works it cites.
Y. Deng, P. Luo, C. C. Loy, and X. Tang, “Pedestrian attribute recognition at far distance,” in Proceedings of the 22nd ACM international conference on Multimedia . ACM, 2014, pp. 789–792
2014
Later among the works it cites.
H. Bilen, M. Pedersoli, V. P. Namboodiri, T. Tuytelaars, and L. Van Gool, “Object classification with adaptable regions,” in CVPR , 2014, pp. 3662–3669
2014
Later among the works it cites.
L. Bo, X. Ren, and D. Fox, “Learning hierarchical sparse features for RGB-(D) object recognition,” The International Journal of Robotics Research , vol. 33, no. 4, pp. 581–599, 2014
2014
Later among the works it cites.
S. Gupta, R. Girshick, P. Arbeláez, and J. Malik, “Learning rich features from RGB-D images for object detection and segmentation,” in ECCV . Springer, 2014, pp. 345–360
2014
Later among the works it cites.
K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” arXiv preprint arXiv:1409.1556 , 2014
Original
2014
Later among the works it cites.
M. Oquab, L. Bottou, I. Laptev, J. Sivic et al. , “Weakly supervised object recognition with convolutional neural networks,” in NIPS , 2014
2014
Later among the works it cites.
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov, “Scalable object detection using deep neural networks,” in CVPR , 2014, pp. 2147–2154
2014
Later among the works it cites.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in CVPR , 2014, pp. 580–587
2014
Later among the works it cites.
Y. Wei, W. Xia, J. Huang, B. Ni, J. Dong, Y. Zhao, and S. Yan, “CNN: Single-label to multi-label,” arXiv preprint arXiv:1406.5726 , 2014
Original
2014
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Spatial pyramid pooling in deep convolutional networks for visual recognition,” in ECCV . Springer, 2014, pp. 346–361
2014
Later among the works it cites.
R. Benenson, M. Omran, J. Hosang, and B. Schiele, “Ten years of pedestrian detection, what have we learned?” arXiv preprint arXiv:1411.4304 , 2014
Original
2014
Later among the works it cites.
R. Mohan, “Deep deconvolutional networks for scene parsing,” arXiv preprint arXiv:1411.4101 , 2014
Original
2014
Later among the works it cites.
A. B. Hillel, R. Lerner, D. Levi, and G. Raz, “Recent progress in road and lane detection: a survey,” Machine vision and applications , vol. 25, no. 3, pp. 727–745, 2014
2014
Later among the works it cites.
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele, “2d human pose estimation: New benchmark and state of the art analysis,” in CVPR , 2014, pp. 3686–3693
2014
Later among the works it cites.
Z. Zhang, P. Luo, C. C. Loy, and X. Tang, “Facial landmark detection by deep multi-task learning,” in ECCV . Springer, 2014, pp. 94–108
2014
Later among the works it cites.
S. Gasparrini, E. Cippitelli, S. Spinsante, and E. Gambi, “A depth-based fall detection system using a kinect sensor,” Sensors , vol. 14, no. 2, pp. 2756–2775, 2014
2014
Later among the works it cites.
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu, “Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments,” PAMI , vol. 36, no. 7, pp. 1325–1339, jul 2014
2014
Later among the works it cites.
S. Antol, C. L. Zitnick, and D. Parikh, “Zero-shot learning via visual abstraction,” in ECCV , 2014
2014
Later among the works it cites.
V. Belagiannis, S. Amin, M. Andriluka, B. Schiele, N. Navab, and S. Ilic, “3D pictorial structures for multiple human pose estimation,” in CVPR , 2014, pp. 1669–1676
2014
Later among the works it cites.
A. Cherian, J. Mairal, K. Alahari, and C. Schmid, “Mixing body-part sequences for human pose estimation,” in CVPR , 2014
2014
Later among the works it cites.
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei, “Large-scale video classification with convolutional neural networks,” in CVPR , 2014
2014
Later among the works it cites.
G. Waltner, T. Mauthner, and H. Bischof, “Improved Sport Activity Recognition using Spatio-temporal Context,” in Proc. DVS-Conference on Computer Science in Sport (DVS/GSSS) , 2014
2014
Later among the works it cites.
W. Ouyang, X. Chu, and X. Wang, “Multi-source deep learning for human pose estimation,” in CVPR , 2014, pp. 2329–2336
2014
Later among the works it cites.
A. Cherian, J. Mairal, K. Alahari, and C. Schmid, “Mixing body-part sequences for human pose estimation,” in CVPR , 2014, pp. 2353–2360
2014
Later among the works it cites.
A. Toshev and C. Szegedy, “DeepPose: Human pose estimation via deep neural networks,” in CVPR , 2014, pp. 1653–1660
2014
Later among the works it cites.
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele, “2D human pose estimation: New benchmark and state of the art analysis,” in CVPR , 2014, pp. 3686–3693
2014
Later among the works it cites.
J. K. Aggarwal and L. Xia, “Human activity recognition from 3D data: A review,” Pattern Recognition Letters , vol. 48, pp. 70–80, 2014
2014
Later among the works it cites.
G. Guo and A. Lai, “A survey on still image based human action recognition,” Pattern Recognition , vol. 47, no. 10, pp. 3343–3361, 2014
2014
Later among the works it cites.
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei, “Large-scale video classification with convolutional neural networks,” in CVPR , 2014, pp. 1725–1732
2014
Later among the works it cites.
K. Simonyan and A. Zisserman, “Two-stream convolutional networks for action recognition in videos,” in Advances in neural information processing systems , 2014, pp. 568–576
2014
Later among the works it cites.
M. Dozza and J. Werneke, “Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world?” Transportation research part F: traffic psychology and behaviour , vol. 24, pp. 83–91, 2014
2014
Later among the works it cites.
J. F. P. Kooij, N. Schneider, F. Flohr, and D. M. Gavrila, “Context-based pedestrian path prediction,” in ECCV . Springer, 2014, pp. 618–633
2014
Later among the works it cites.
E. Ohn-Bar, S. Martin, A. Tawari, and M. M. Trivedi, “Head, eye, and hand patterns for driver activity recognition,” in ICPR . IEEE, 2014, pp. 660–665
2014
Later among the works it cites.
J. F. Kooij, N. Schneider, and D. M. Gavrila, “Analysis of pedestrian dynamics from a vehicle perspective,” in Intelligent Vehicles Symposium (IV) . IEEE, 2014, pp. 1445–1450
2014
Later among the works it cites.
R. Quintero, I. Parra, D. F. Llorca, and M. Sotelo, “Pedestrian path prediction based on body language and action classification,” in Intelligent Transportation Systems (ITSC) . IEEE, 2014, pp. 679–684
2014
Later among the works it cites.
F. Madrigal, J.-B. Hayet, and F. Lerasle, “Intention-aware multiple pedestrian tracking,” in ICPR . IEEE, 2014, pp. 4122–4127
2014
Later among the works it cites.
A. Rasouli and J. K. Tsotsos, “Visual saliency improves autonomous visual search,” in Canadian Conference on Computer and Robot Vision (CRV) . IEEE, 2014, pp. 111–118
2014
Later among the works it cites.
J. Ba, V. Mnih, and K. Kavukcuoglu, “Multiple object recognition with visual attention,” arXiv preprint arXiv:1412.7755 , 2014
Original
2014
Later among the works it cites.
J. Zhu, Y. Qiu, R. Zhang, and J. Huang, “Top-down saliency detection via contextual pooling,” Journal of Signal Processing Systems , vol. 74, no. 1, pp. 33–46, 2014
2014
Later among the works it cites.
A. Tawari and M. M. Trivedi, “Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos,” in Intelligent Vehicles Symposium (IV) . IEEE, 2014, pp. 344–349
2014
Later among the works it cites.
A. Tawari, S. Sivaraman, M. M. Trivedi, T. Shannon, and M. Tippelhofer, “Looking-in and looking-out vision for urban intelligent assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking,” in Intelligent Vehicles Symposium (IV) . IEEE, 2014, pp. 115–120
2014
Later among the works it cites.
R. Tanishige, D. Deguchi, K. Doman, Y. Mekada, I. Ide, and H. Murase, “Prediction of driver’s pedestrian detectability by image processing adaptive to visual fields of view,” in Intelligent Transportation Systems (ITSC) . IEEE, 2014, pp. 1388–1393
2014
Later among the works it cites.
M. Richtel, “Google’s driverless cars run into problem: Cars with drivers,” Online, 2017-05-30. [Online]. Available: https://www.nytimes.com/2015/09/02/technology/personaltech/google-says-its-not-the-driverless-cars-fault-its-other-drivers.html?_r=2
2015
Later among the works it cites.
N. Guéguen, S. Meineri, and C. Eyssartier, “A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing,” Safety science , vol. 75, pp. 87–89, 2015
2015
Later among the works it cites.
G. Waizman, S. Shoval, and I. Benenson, “Micro-simulation model for assessing the risk of vehicle–pedestrian road accidents,” Journal of Intelligent Transportation Systems , vol. 19, no. 1, pp. 63–77, 2015
2015
Later among the works it cites.
R. Sun, X. Zhuang, C. Wu, G. Zhao, and K. Zhang, “The estimation of vehicle speed and stopping distance by pedestrians crossing streets in a naturalistic traffic environment,” Transportation research part F: traffic psychology and behaviour , vol. 30, pp. 97–106, 2015
2015
Later among the works it cites.
P. Johnson-Laird, S. S. Khemlani, and G. P. Goodwin, “Logic, probability, and human reasoning,” Trends in cognitive sciences , vol. 19, no. 4, pp. 201–214, 2015
2015
Later among the works it cites.
B. Peng, Z. Lu, H. Li, and K.-F. Wong, “Towards neural network-based reasoning,” arXiv preprint arXiv:1508.05508 , 2015
Original
2015
Later among the works it cites.
N. D. Bruce, C. Wloka, N. Frosst, S. Rahman, and J. K. Tsotsos, “On computational modeling of visual saliency: Examining what’s right, and what’s left,” Vision research , vol. 116, pp. 95–112, 2015
2015
Later among the works it cites.
M. Zheng, A. Moon, E. A. Croft, and M. Q.-H. Meng, “Impacts of robot head gaze on robot-to-human handovers,” International Journal of Social Robotics , vol. 7, no. 5, pp. 783–798, 2015
2015
Later among the works it cites.
S. Kim, Z. Yu, J. Kim, A. Ojha, and M. Lee, “Human-robot interaction using intention recognition,” in Proceedings of the 3rd International Conference on Human-Agent Interaction . ACM, 2015, pp. 299–302
2015
Later among the works it cites.
M. Monajjemi, J. Bruce, S. A. Sadat, J. Wawerla, and R. Vaughan, “UAV, do you see me? Establishing mutual attention between an uninstrumented human and an outdoor UAV in flight,” in IROS . IEEE, 2015, pp. 3614–3620
2015
Later among the works it cites.
L. Hobert, A. Festag, I. Llatser, L. Altomare, F. Visintainer, and A. Kovacs, “Enhancements of v2x communication in support of cooperative autonomous driving,” IEEE Communications Magazine , vol. 53, no. 12, pp. 64–70, 2015
2015
Later among the works it cites.
T. Schmidt, R. Philipsen, and M. Ziefle, “From v2x to control2trust,” in Proceedings of the Third International Conference on Human Aspects of Information Security, Privacy, and Trust . Springer-Verlag New York, Inc., 2015, pp. 570–581
2015
Later among the works it cites.
T. Lagstrom and V. M. Lundgren, “AVIP-autonomous vehicles interaction with pedestrians,” Master’s thesis, Chalmers University of Technology, Gothenborg, Sweden, 2015
2015
Later among the works it cites.
C. P. Urmson, I. J. Mahon, D. A. Dolgov, and J. Zhu, “Pedestrian notifications,” US Patent US 9 196 164B1, 11 24, 2015
2015
Later among the works it cites.
“Mitsubishi electric introduces road-illuminating directional indicators,” Online, 2017-06-30. [Online]. Available: http://www.mitsubishielectric.com/news/2015/1023.html?cid=rss
2015
Later among the works it cites.
A. Sieß, K. Hübel, D. Hepperle, A. Dronov, C. Hufnagel, J. Aktun, and M. Wölfel, “Hybrid city lighting-improving pedestrians’ safety through proactive street lighting,” in International Conference on Cyberworlds (CW) . IEEE, 2015, pp. 46–49
2015
Later among the works it cites.
W. Wang, A. X. Liu, M. Shahzad, K. Ling, and S. Lu, “Understanding and modeling of wifi signal based human activity recognition,” in Proceedings of the 21st annual international conference on mobile computing and networking . ACM, 2015, pp. 65–76
2015
Later among the works it cites.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei, “ImageNet Large Scale Visual Recognition Challenge,” IJCV , vol. 115, no. 3, pp. 211–252, 2015
2015
Later among the works it cites.
S. Hwang, J. Park, N. Kim, Y. Choi, and I. So Kweon, “Multispectral pedestrian detection: Benchmark dataset and baseline,” in CVPR , 2015, pp. 1037–1045
2015
Later among the works it cites.
X. Chen, K. Kundu, Y. Zhu, A. G. Berneshawi, H. Ma, S. Fidler, and R. Urtasun, “3D object proposals for accurate object class detection,” in Advances in Neural Information Processing Systems , 2015, pp. 424–432
2015
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification,” in ICCV , 2015, pp. 1026–1034
2015
Later among the works it cites.
D. Maturana and S. Scherer, “Voxnet: A 3D convolutional neural network for real-time object recognition,” in IROS . IEEE, 2015, pp. 922–928
2015
Later among the works it cites.
P. Wohlhart and V. Lepetit, “Learning descriptors for object recognition and 3D pose estimation,” in CVPR , 2015, pp. 3109–3118
2015
Later among the works it cites.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions,” in CVPR , 2015, pp. 1–9
2015
Later among the works it cites.
S. Shankar, V. K. Garg, and R. Cipolla, “Deep-carving: Discovering visual attributes by carving deep neural nets,” in CVPR , 2015, pp. 3403–3412
2015
Later among the works it cites.
R. Girshick, “Fast R-CNN,” in ICCV , 2015, pp. 1440–1448
2015
Later among the works it cites.
J. C. Caicedo and S. Lazebnik, “Active object localization with deep reinforcement learning,” in ICCV , 2015, pp. 2488–2496
2015
Later among the works it cites.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real-time object detection with region proposal networks,” in Advances in neural information processing systems , 2015, pp. 91–99
2015
Later among the works it cites.
Q. Chen, Z. Song, J. Dong, Z. Huang, Y. Hua, and S. Yan, “Contextualizing object detection and classification,” PAMI , vol. 37, no. 1, pp. 13–27, 2015
2015
Later among the works it cites.
M. Liang and X. Hu, “Recurrent convolutional neural network for object recognition,” in CVPR , 2015, pp. 3367–3375
2015
Later among the works it cites.
Y. Tian, P. Luo, X. g. Wang, and X. Tang, “Pedestrian detection aided by deep learning semantic tasks,” in CVPR , 2015, pp. 5079–5087
2015
Later among the works it cites.
B. Yang, J. Yan, Z. Lei, and S. Z. Li, “Convolutional channel features,” in ICCV , 2015, pp. 82–90
2015
Later among the works it cites.
V. Balali, E. Depwe, and M. Golparvar-Fard, “Multi-class traffic sign detection and classification using google street view images,” in Transportation Research Board 94th Annual Meeting , 2015
2015
Later among the works it cites.
E. Cippitelli, S. Gasparrini, E. Gambi, S. Spinsante, J. Wåhslény, I. Orhany, and T. Lindhy, “Time synchronization and data fusion for RGB-depth cameras and inertial sensors in AAL applications,” in IEEE International Conference on Communication Workshop (ICCW) . IEEE, 2015, pp. 265–270
2015
Later among the works it cites.
A. Wetzler, R. Slossberg, and R. Kimmel, “Rule of thumb: Deep derotation for improved fingertip detection,” in BMVC . BMVA Press, September 2015, pp. 33.1–33.12
2015
Later among the works it cites.
M. I. López-Quintero, M. J. Marín-Jiménez, R. Muñoz-Salinas, F. J. Madrid-Cuevas, and R. Medina-Carnicer, “Stereo Pictorial Structure for 2D articulated human pose estimation,” Machine Vision and Applications , vol. 27, no. 2, pp. 157–174, 2015
2015
Later among the works it cites.
K. Lee, D. Ognibene, H. J. Chang, T.-K. Kim, and Y. Demiris, “STARE: Spatio-temporal attention relocation for multiple structured activities detection,” IEEE Transactions on Image Processing , vol. 24, no. 12, pp. 5916–5927, 2015
2015
Later among the works it cites.
F. Caba Heilbron, V. Escorcia, B. Ghanem, and J. Carlos Niebles, “ActivityNet: A large-scale video benchmark for human activity understanding,” in CVPR , 2015, pp. 961–970
2015
Later among the works it cites.
X. Fan, K. Zheng, Y. Lin, and S. Wang, “Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation,” in CVPR , 2015, pp. 1347–1355
2015
Later among the works it cites.
Z. Liu, J. Zhu, J. Bu, and C. Chen, “A survey of human pose estimation: the body parts parsing based methods,” Journal of Visual Communication and Image Representation , vol. 32, pp. 10–19, 2015
2015
Later among the works it cites.
S. S. Rautaray and A. Agrawal, “Vision based hand gesture recognition for human computer interaction: a survey,” Artificial Intelligence Review , vol. 43, no. 1, pp. 1–54, 2015
2015
Later among the works it cites.
M. Ziaeefard and R. Bergevin, “Semantic human activity recognition: a literature review,” Pattern Recognition , vol. 48, no. 8, pp. 2329–2345, 2015
2015
Later among the works it cites.
C. Feichtenhofer, A. Pinz, and R. P. Wildes, “Dynamically encoded actions based on spacetime saliency,” in CVPR , 2015, pp. 2755–2764
2015
Later among the works it cites.
J. Yue-Hei Ng, M. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici, “Beyond short snippets: Deep networks for video classification,” in CVPR , 2015, pp. 4694–4702
2015
Later among the works it cites.
Z. Deng, M. Zhai, L. Chen, Y. Liu, S. Muralidharan, M. J. Roshtkhari, and G. Mori, “Deep structured models for group activity recognition,” in BMVC , 2015
2015
Later among the works it cites.
C. M. Richard, J. L. Brown, J. L. Campbell, J. S. Graving, J. Milton, and I. van Schalkwyk, “SHRP 2 implementation assistance program concept to countermeasure-research to deployment using the SHRP2 safety data (NDS) influence of roadway design features on episodic,” 2015
2015
Later among the works it cites.
P. Molchanov, S. Gupta, K. Kim, and K. Pulli, “Multi-sensor system for driver’s hand-gesture recognition,” in IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) , vol. 1. IEEE, 2015, pp. 1–8
2015
Later among the works it cites.
A. T. Schulz and R. Stiefelhagen, “A controlled interactive multiple model filter for combined pedestrian intention recognition and path prediction,” in Intelligent Transportation Systems (ITSC) . IEEE, 2015, pp. 173–178
2015
Later among the works it cites.
Y. Hashimoto, Y. Gu, L.-T. Hsu, and S. Kamijo, “Probability estimation for pedestrian crossing intention at signalized crosswalks,” in International Conference on Vehicular Electronics and Safety (ICVES) . IEEE, 2015, pp. 114–119
2015
Later among the works it cites.
M. M. Trivedi, T. B. Moeslund et al. , “Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations,” in Intelligent Vehicles Symposium (IV) . IEEE, 2015, pp. 330–335
2015
Later among the works it cites.
H. Bai, S. Cai, N. Ye, D. Hsu, and W. S. Lee, “Intention-aware online pomdp planning for autonomous driving in a crowd,” in ICRA . IEEE, 2015, pp. 454–460
2015
Later among the works it cites.
S. Köhler, M. Goldhammer, K. Zindler, K. Doll, and K. Dietmeyer, “Stereo-vision-based pedestrian’s intention detection in a moving vehicle,” in Intelligent Transportation Systems (ITSC) . IEEE, 2015, pp. 2317–2322
2015
Later among the works it cites.
B. Völz, H. Mielenz, G. Agamennoni, and R. Siegwart, “Feature relevance estimation for learning pedestrian behavior at crosswalks,” in Intelligent Transportation Systems (ITSC) . IEEE, 2015, pp. 854–860
2015
Later among the works it cites.
Z. Bylinskii, E. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, and J. Tsotsos, “Towards the quantitative evaluation of visual attention models,” Vision research , vol. 116, pp. 258–268, 2015
2015
Later among the works it cites.
G. Li and Y. Yu, “Visual saliency based on multiscale deep features,” in CVPR , Boston, June 2015
2015
Later among the works it cites.
R. Zhao, W. Ouyang, H. Li, and X. Wang, “Saliency detection by multi-context deep learning,” in CVPR , Boston, June 2015
2015
Later among the works it cites.
F. Kröger, “Automated driving in its social, historical and cultural contexts,” in Autonomous Driving . Springer, 2016, pp. 41–68
2016
Later among the works it cites.
T. Winkle, “Safety benefits of automated vehicles: Extended findings from accident research for development, validation and testing,” in Autonomous Driving . Springer, 2016, pp. 335–364
2016
Later among the works it cites.
D. Radovanovic and D. Muoio, “This is what the evolution of self-driving cars looks like,” Online, 2017-05-28. [Online]. Available: http://www.businessinsider.com/what-are-the-different-levels-of-driverless-cars-2016-10/#-1
2016
Later among the works it cites.
A. Davieg, “We take a ride in the self-driving Uber now roaming Pittsburgh,” Online, 2017-05-28. [Online]. Available: https://www.wired.com/2016/09/self-driving-autonomous-uber-pittsburgh/#slide-8
2016
Later among the works it cites.
G. Nica, “BMW CEO wants autonomous driving cars within five years,” Online, 2017-05-28. [Online]. Available: http://www.bmwblog.com/2016/08/02/bmw-ceo-wants-autonomous-driving-cars-within-five-years/
2016
Later among the works it cites.
A. Davieg, “Uber’s self-driving truck makes its first delivery: 50,000 beers,” Online, 2017-05-30. [Online]. Available: https://www.wired.com/2016/10/ubers-self-driving-truck-makes-first-delivery-50000-beers/
2016
Later among the works it cites.
O. Levander, “Forget autonomous cars-autonomous ships are almost here,” Online, 2017-05-30. [Online]. Available: https://www.wired.com/2016/10/ubers-self-driving-truck-makes-first-delivery-50000-beers/
2016
Later among the works it cites.
B. Friedrich, “The effect of autonomous vehicles on traffic,” Autonomous Driving , pp. 317–334, 2016
2016
Later among the works it cites.
T. M. Gasser, “Fundamental and special legal questions for autonomous vehicles,” Autonomous Driving , pp. 523–551, 2016
2016
Later among the works it cites.
D. Muoio, “6 scenarios self-driving cars still can’t handle,” Online, 2017-05-30. [Online]. Available: http://www.businessinsider.com/autonomous-car-limitations-2016-8/#1-driverless-cars-struggle-going-over-bridges-1
2016
Later among the works it cites.
F. Lambert, “Tesla Model S driver crashes into a van while on autopilot [video],” Online, 2017-05-30. [Online]. Available: https://electrek.co/2016/05/26/tesla-model-s-crash-autopilot-video/
2016
Later among the works it cites.
“Tesla driver dies in first fatal crash while using autopilot mode,” Online, 2017-05-30. [Online]. Available: https://www.theguardian.com/technology/2016/jun/30/tesla-autopilot-death-self-driving-car-elon-musk
2016
Later among the works it cites.
“Another fatal tesla crash reportedly on autopilot emerges, Model S hits a streetsweeper truck – caught on dashcam,” Online, 2017-05-30. [Online]. Available: https://electrek.co/2016/09/14/another-fatal-tesla-autopilot-crash-emerges-model-s-hits-a-streetsweeper-truck-caught-on-dashcam/
2016
Later among the works it cites.
I. Wolf, “The interaction between humans and autonomous agents,” in Autonomous Driving . Springer, 2016, pp. 103–124
2016
Later among the works it cites.
B. Färber, “Communication and communication problems between autonomous vehicles and human drivers,” in Autonomous Driving . Springer, 2016, pp. 125–144
2016
Later among the works it cites.
S. E. Anthony, “The trollable self-driving car,” Online, 2017-05-30. [Online]. Available: http://www.slate.com/articles/technology/future_tense/2016/03/google_self_driving_cars_lack_a_human_s_intuition_for_what_other_drivers.html
2016
Later among the works it cites.
M. Gough, “Machine smarts: how will pedestrians negotiate with driverless cars?” Online, 2017-05-30. [Online]. Available: https://www.theguardian.com/sustainable-business/2016/sep/09/machine-smarts-how-will-pedestrians-negotiate-with-driverless-cars
2016
Later among the works it cites.
M. Botero, “Tactless scientists: Ignoring touch in the study of joint attention,” Philosophical Psychology , vol. 29, no. 8, pp. 1200–1214, 2016
2016
Later among the works it cites.
R. Sheldrake and A. Beeharee, “Is joint attention detectable at a distance? Three automated, internet-based tests,” Explore: The Journal of Science and Healing , vol. 12, no. 1, pp. 34–41, 2016
2016
Later among the works it cites.
T. Deroche, C. Castanier, A. Perrot, and A. Hartley, “Joint attention is slowed in older adults,” Experimental aging research , vol. 42, no. 2, pp. 144–150, 2016
2016
Later among the works it cites.
D. Rothenbücher, J. Li, D. Sirkin, B. Mok, and W. Ju, “Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles,” in International Symposium on Robot and Human Interactive Communication (RO-MAN) . IEEE, 2016, pp. 795–802
2016
Later among the works it cites.
Y. Barnard, F. Utesch, N. Nes, R. Eenink, and M. Baumann, “The study design of UDRIVE: the naturalistic driving study across europe for cars, trucks and scooters,” European Transport Research Review , vol. 8, no. 2, pp. 1–10, 2016
2016
Later among the works it cites.
P.-S. Lin, Z. Wang, and R. Guo, “Impact of connected vehicles and autonomous vehicles on future transportation,” Bridging the East and West , p. 46, 2016
2016
Later among the works it cites.
H. Jaeger, “Artificial intelligence: Deep neural reasoning,” Nature , vol. 538, no. 7626, pp. 467–468, 2016
2016
Later among the works it cites.
A. Graves, G. Wayne, M. Reynolds, T. Harley, I. Danihelka, A. Grabska-Barwińska, S. G. Colmenarejo, E. Grefenstette, T. Ramalho, J. Agapiou et al. , “Hybrid computing using a neural network with dynamic external memory,” Nature , vol. 538, no. 7626, pp. 471–476, 2016
2016
Later among the works it cites.
Y. Takeda, T. Sato, K. Kimura, H. Komine, M. Akamatsu, and J. Sato, “Electrophysiological evaluation of attention in drivers and passengers: Toward an understanding of drivers’ attentional state in autonomous vehicles,” Transportation research part F: traffic psychology and behaviour , vol. 42, pp. 140–150, 2016
2016
Later among the works it cites.
S. Gorji and J. J. Clark, “Attentional push: Augmenting salience with shared attention modeling,” arXiv preprint arXiv:1609.00072 , 2016
Original
2016
Later among the works it cites.
H. Kera, R. Yonetani, K. Higuchi, and Y. Sato, “Discovering objects of joint attention via first-person sensing,” in Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2016, pp. 7–15
2016
Later among the works it cites.
N. Gao and L. Zhao, “A pedestrian dead reckoning system using SEMG based on activities recognition,” in Chinese Guidance, Navigation and Control Conference (CGNCC) . IEEE, 2016, pp. 2361–2365
2016
Later among the works it cites.
M. G. Amin, Y. D. Zhang, F. Ahmad, and K. D. Ho, “Radar signal processing for elderly fall detection: The future for in-home monitoring,” IEEE Signal Processing Magazine , vol. 33, no. 2, pp. 71–80, 2016
2016
Later among the works it cites.
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, “The Cityscapes dataset for semantic urban scene understanding,” in CVPR , June 2016
2016
Later among the works it cites.
F. Yang, W. Choi, and Y. Lin, “Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers,” in CVPR , 2016, pp. 2129–2137
2016
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in CVPR , 2016, pp. 770–778
2016
Later among the works it cites.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You only look once: Unified, real-time object detection,” in CVPR , 2016, pp. 779–788
2016
Later among the works it cites.
V. Kantorov, M. Oquab, M. Cho, and I. Laptev, “ContextLocNet: Context-aware deep network models for weakly supervised localization,” in ECCV . Springer, 2016, pp. 350–365
2016
Later among the works it cites.
H. Hu, G.-T. Zhou, Z. Deng, Z. Liao, and G. Mori, “Learning structured inference neural networks with label relations,” in CVPR , 2016, pp. 2960–2968
2016
Later among the works it cites.
X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, and R. Urtasun, “Monocular 3d object detection for autonomous driving,” in CVPR , 2016, pp. 2147–2156
2016
Later among the works it cites.
J. Schlosser, C. K. Chow, and Z. Kira, “Fusing LIDAR and images for pedestrian detection using convolutional neural networks,” in ICRA . IEEE, 2016, pp. 2198–2205
2016
Later among the works it cites.
L. Zhang, L. Lin, X. Liang, and K. He, “Is faster r-cnn doing well for pedestrian detection?” in ECCV . Springer, 2016, pp. 443–457
2016
Later among the works it cites.
L. Cao, Q. Jiang, M. Cheng, and C. Wang, “Robust vehicle detection by combining deep features with exemplar classification,” Neurocomputing , vol. 215, pp. 225–231, 2016
2016
Later among the works it cites.
S. Lange, F. Ulbrich, and D. Goehring, “Online vehicle detection using deep neural networks and lidar based preselected image patches,” in Intelligent Vehicles Symposium (IV) . IEEE, 2016, pp. 954–959
2016
Later among the works it cites.
Y. Zhu, C. Zhang, D. Zhou, X. Wang, X. Bai, and W. Liu, “Traffic sign detection and recognition using fully convolutional network guided proposals,” Neurocomputing , vol. 214, pp. 758–766, 2016
2016
Later among the works it cites.
A. Laddha, M. K. Kocamaz, L. E. Navarro-Serment, and M. Hebert, “Map-supervised road detection,” in Intelligent Vehicles Symposium (IV), 2016 IEEE . IEEE, 2016, pp. 118–123
2016
Later among the works it cites.
C. C. T. Mendes, V. Frémont, and D. F. Wolf, “Exploiting fully convolutional neural networks for fast road detection,” in ICRA . IEEE, 2016, pp. 3174–3179
2016
Later among the works it cites.
G. L. Oliveira, W. Burgard, and T. Brox, “Efficient deep methods for monocular road segmentation,” in IROS , 2016
2016
Later among the works it cites.
A. Shafaei and J. J. Little, “Real-time human motion capture with multiple depth cameras,” in CRV . Canadian Image Processing and Pattern Recognition Society (CIPPRS), 2016
2016
Later among the works it cites.
A. Haque, B. Peng, Z. Luo, A. Alahi, S. Yeung, and L. Fei-Fei, “Towards viewpoint invariant 3d human pose estimation,” in ECCV , October 2016
2016
Later among the works it cites.
S. Gasparrini, E. Cippitelli, E. Gambi, S. Spinsante, J. Wåhslén, I. Orhan, and T. Lindh, “Proposal and experimental evaluation of fall detection solution based on wearable and depth data fusion,” in ICT innovations . Springer, 2016, pp. 99–108
2016
Later among the works it cites.
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh, “Convolutional pose machines,” in CVPR , 2016
2016
Later among the works it cites.
X. Zhou, M. Zhu, S. Leonardos, K. G. Derpanis, and K. Daniilidis, “Sparseness meets deepness: 3D human pose estimation from monocular video,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 4966–4975
2016
Later among the works it cites.
X. Wang, A. Farhadi, and A. Gupta, “Actions˜transformations,” in CVPR , 2016, pp. 2658–2667
2016
Later among the works it cites.
Z. Deng, A. Vahdat, H. Hu, and G. Mori, “Structure inference machines: Recurrent neural networks for analyzing relations in group activity recognition,” in CVPR , 2016, pp. 4772–4781
2016
Later among the works it cites.
I. Kotseruba, A. Rasouli, and J. K. Tsotsos, “Joint attention in autonomous driving (jaad),” arXiv preprint arXiv:1609.04741 , 2016
Original
2016
Later among the works it cites.
B. Li, T. Wu, C. Xiong, and S.-C. Zhu, “Recognizing car fluents from video,” in CVPR , 2016, pp. 3803–3812
2016
Later among the works it cites.
M. Bahram, C. Hubmann, A. Lawitzky, M. Aeberhard, and D. Wollherr, “A combined model-and learning-based framework for interaction-aware maneuver prediction,” IEEE Transactions on Intelligent Transportation Systems , vol. 17, no. 6, pp. 1538–1550, 2016
2016
Later among the works it cites.
E. Ohn-Bar and M. M. Trivedi, “Looking at humans in the age of self-driving and highly automated vehicles,” IEEE Transactions on Intelligent Vehicles , vol. 1, no. 1, pp. 90–104, 2016
2016
Later among the works it cites.
N. Brouwer, H. Kloeden, and C. Stiller, “Comparison and evaluation of pedestrian motion models for vehicle safety systems,” in Intelligent Transportation Systems (ITSC) . IEEE, 2016, pp. 2207–2212
2016
Later among the works it cites.
B. Völz, K. Behrendt, H. Mielenz, I. Gilitschenski, R. Siegwart, and J. Nieto, “A data-driven approach for pedestrian intention estimation,” in Intelligent Transportation Systems (ITSC) . IEEE, 2016, pp. 2607–2612
2016
Later among the works it cites.
J. Hariyono, A. Shahbaz, L. Kurnianggoro, and K.-H. Jo, “Estimation of collision risk for improving driver’s safety,” in Annual Conference of Industrial Electronics Society (IECON) . IEEE, 2016, pp. 901–906
2016
Later among the works it cites.
F. Schneemann and P. Heinemann, “Context-based detection of pedestrian crossing intention for autonomous driving in urban environments,” in IROS . IEEE, 2016, pp. 2243–2248
2016
Later among the works it cites.
C. Park, J. Ondřej, M. Gilbert, K. Freeman, and C. O’Sullivan, “HI Robot: Human intention-aware robot planning for safe and efficient navigation in crowds,” in IROS . IEEE, 2016, pp. 3320–3326
2016
Later among the works it cites.
D. González, J. Pérez, V. Milanés, and F. Nashashibi, “A review of motion planning techniques for automated vehicles,” ITSC , vol. 17, no. 4, pp. 1135–1145, 2016
2016
Later among the works it cites.
S. He, R. Lau, and Q. Yang, “Exemplar-driven top-down saliency detection via deep association,” in CVPR , Las Vegas, June 2016
2016
Later among the works it cites.
J. Zhang, Z. Lin, J. Brandt, X. Shen, and S. Sclaroff, “Top-down neural attention by excitation backprop,” in European Conference on Computer Vision . Springer, 2016, pp. 543–559
2016
Later among the works it cites.
T. Deng, K. Yang, Y. Li, and H. Yan, “Where does the driver look? top-down-based saliency detection in a traffic driving environment,” IEEE Transactions on Intelligent Transportation Systems , vol. 17, no. 7, pp. 2051–2062, 2016
2016
Later among the works it cites.
S. Alletto, A. Palazzi, F. Solera, S. Calderara, and R. Cucchiara, “Dr (eye) ve: A dataset for attention-based tasks with applications to autonomous and assisted driving,” in Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2016, pp. 54–60
2016
Later among the works it cites.
Z. Bylinskii, A. Recasens, A. Borji, A. Oliva, A. Torralba, and F. Durand, “Where should saliency models look next?” in European Conference on Computer Vision . Springer, 2016, pp. 809–824
2016
Later among the works it cites.
“Automated driving levels of driving automation are defined in new SAE international standard j3016,” Online, 2017-05-28. [Online]. Available: https://www.sae.org/misc/pdfs/automated_driving.pdf
2017
Later among the works it cites.
“Unmanned ground vehicle,” Online, 2017-05-28. [Online]. Available: http://www.wikiwand.com/en/Unmanned_ground_vehicle
2017
Later among the works it cites.
A. Oagana, “A short history of mercedes-benz autonomous driving technology,” Online, 2017-05-28. [Online]. Available: https://www.autoevolution.com/news/a-short-history-of-mercedes-benz-autonomous-driving-technology-68148.html
2017
Later among the works it cites.
“Self driving car,” Online, 2017-05-28. [Online]. Available: http://stanford.edu/~cpiech/cs221/apps/driverlessCar.html
2017
Later among the works it cites.
“Watch Stanford’s self-driving vehicle hit 120mph: Autonomous Audi proves to be just as good as a race car driver,” Online, 2017-05-28. [Online]. Available: http://www.dailymail.co.uk/sciencetech/article-3472223/Watch-Stanford-s-self-driving-vehicle-hit-120mph-Autonomous-Audi-proves-just-good-race-car-driver.html
2017
Later among the works it cites.
“W. Grey Walter’s Tortoises – Self-recognition and narcissism,” Online, 2017-05-26. [Online]. Available: http://cyberneticzoo.com/cyberneticanimals/w-grey-walter-tortoises-picture-gallery-2/attachment/la-scienza-illustrata-1950_10-walter-tortoise-2-x640/
2017
Later among the works it cites.
“Elsie (electro-mechanical robot, light sensitive with internal and external stability,” Online, 2017-05-26. [Online]. Available: http://cyberneticzoo.com/cyberneticanimals/elsie-cyberneticanimals/elsie/
2017
Later among the works it cites.
M. Mueller-Freitag, “Germany asleep at the wheel?” Online, 2017-05-28. [Online]. Available: https://medium.com/twentybn/germany-asleep-at-the-wheel-d800445d6da2
2017
Later among the works it cites.
“Waymo,” Online, 2017-05-30. [Online]. Available: https://waymo.com/
2017
Later among the works it cites.
a. English, “Toyota’s driveless car,” Online, 2017-05-30. [Online]. Available: http://www.telegraph.co.uk/motoring/car-manufacturers/toyota/10404575/Toyotas-driverless-car.html
2017
Later among the works it cites.
“44 corporations working on autonomous vehicles,” Online, 2017-05-30. [Online]. Available: https://www.cbinsights.com/blog/autonomous-driverless-vehicles-corporations-list/
2017
Later among the works it cites.
“Full self-driving hardware on all cars,” Online, 2017-05-30. [Online]. Available: https://www.tesla.com/en_CA/autopilot?redirect=no
2017
Later among the works it cites.
A. Marshal, “Don’t look now, but even buses are going autonomous,” Online, 2017-05-30. [Online]. Available: https://www.wired.com/2017/05/reno-nevada-autonomous-bus/
2017
Later among the works it cites.
F. Lambert, “Elon Musk clarifies tesla’s plan for level 5 fully autonomous driving: 2 years away from sleeping in the car,” Online, 2017-05-30. [Online]. Available: https://electrek.co/2017/04/29/elon-musk-tesla-plan-level-5-full-autonomous-driving/
2017
Later among the works it cites.
E. Ackerman, “Toyota’s Gill Pratt on self-driving cars and the reality of full autonomy,” Online, 2017-05-30. [Online]. Available: http://spectrum.ieee.org/cars-that-think/transportation/self-driving/toyota-gill-pratt-on-the-reality-of-full-autonomy
2017
Later among the works it cites.
R. Tussy, “The challenges facing autonomous vehicles,” Online, 2017-05-30. [Online]. Available: http://auto-sens.com/the-challenges-facing-autonomous-vehicles/
2017
Later among the works it cites.
“Tesla on autopilot hits police motorcycle,” Online, 2017-05-30. [Online]. Available: http://www.government-fleet.com/channel/safety-accident-management/news/story/2017/03/tesla-on-autopilot-hits-police-motorcycle.aspx
2017
Later among the works it cites.
“Uber suspends self-driving fleet after Ariz. crash,” Online, 2017-05-30. [Online]. Available: http://www.automotive-fleet.com/news/story/2017/03/uber-self-driving-car-struck-in-ariz-crash.aspx
2017
Later among the works it cites.
M. McFarland, “Robots hit the streets – and the streets hit back,” Online, 2017-05-30. [Online]. Available: http://money.cnn.com/2017/04/28/technology/robot-bullying/
2017
Later among the works it cites.
M. Sucha, D. Dostal, and R. Risser, “Pedestrian-driver communication and decision strategies at marked crossings,” Accident Analysis & Prevention , vol. 102, pp. 41–50, 2017
2017
Later among the works it cites.
A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Understanding pedestrian behavior in complex traffic scenes,” IEEE Transactions on Intelligent Vehicles , vol. PP, no. 99, pp. 1–1, 2017
2017
Later among the works it cites.
A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Agreeing to cross: How drivers and pedestrians communicate,” in Intelligent Vehicles Symposium (IV) , June 2017, pp. 264–269
2017
Later among the works it cites.
D. Cottingham, “Pedestrian crossings and islands,” Online, 2017-06-3. [Online]. Available: http://mocktheorytest.com/resources/pedestrian-crossings-and-islands/
2017
Later among the works it cites.
E. CYingzi Du, K. Yang, F. Jiang, P. Jiang, R. Tian, M. Luzetski, Y. Chen, R. Sherony, and H. Takahashi, “Pedestrian behavior analysis using 110-car naturalistic driving data in USA,” Online, 2017-06-3. [Online]. Available: https://www-nrd.nhtsa.dot.gov/pdf/Esv/esv23/23ESV-000291.pdf
2017
Later among the works it cites.
“Types of reasoning,” Online, 2017-06-25. [Online]. Available: http://changingminds.org/disciplines/argument/types_reasoning/types_reasoning.htm
2017
Later among the works it cites.
W. Cunningham, “Honda tech warns drivers of pedestrian presence,” Online, 2017-06-30. [Online]. Available: https://www.cnet.com/roadshow/news/honda-tech-warns-drivers-of-pedestrian-presence/
2017
Later among the works it cites.
“Overview: Mercedes-Benz F 015 luxury in motion,” Online, 2017-06-30. [Online]. Available: http://media.daimler.com/marsMediaSite/en/instance/ko/Overview-Mercedes-Benz-F-015-Luxury-in-Motion.xhtml?oid=9904624
2017
Later among the works it cites.
N. Mirnig, N. Perterer, G. Stollnberger, and M. Tscheligi, “Three strategies for autonomous car-to-pedestrian communication: A survival guide,” in ACM/IEEE International Conference on Human-Robot Interaction . ACM, 2017, pp. 209–210
2017
Later among the works it cites.
“Smart highway,” Online, 2017-06-30. [Online]. Available: https://www.studioroosegaarde.net/projects/#smog-free-project
2017
Later among the works it cites.
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba, “Places: A 10 million image database for scene recognition,” PAMI , 2017
2017
Later among the works it cites.
S. Zhang, R. Benenson, and B. Schiele, “Citypersons: A diverse dataset for pedestrian detection,” arXiv preprint arXiv:1702.05693 , 2017
Original
2017
Later among the works it cites.
Q. Hu, P. Wang, C. Shen, A. van den Hengel, and F. Porikli, “Pushing the limits of deep cnns for pedestrian detection,” IEEE Transactions on Circuits and Systems for Video Technology , 2017
2017
Later among the works it cites.
G. Brazil, X. Yin, and X. Liu, “Illuminating pedestrians via simultaneous detection & segmentation,” in ICCV , 2017, pp. 4950–4959
2017
Later among the works it cites.
F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulière, and T. Chateau, “Deep manta: A coarse-to-fine many-task network for joint 2D and 3D vehicle analysis from monocular image,” in CVPR , 2017
2017
Later among the works it cites.
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia, “Multi-view 3D object detection network for autonomous driving,” in CVPR , 2017
2017
Later among the works it cites.
RUCV Group, Online, 2017-07-30. [Online]. Available: http://www.cvg.reading.ac.uk/PETS2009/a.html
2017
Later among the works it cites.
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh, “Realtime multi-person 2D pose estimation using part affinity fields,” in CVPR , 2017
2017
Later among the works it cites.
S. Herath, M. Harandi, and F. Porikli, “Going deeper into action recognition: A survey,” Image and Vision Computing , vol. 60, pp. 4–21, 2017
2017
Later among the works it cites.
A. B. Sargano, P. Angelov, and Z. Habib, “A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition,” Applied Sciences , vol. 7, no. 1, p. 110, 2017
2017
Later among the works it cites.
A. Kar, N. Rai, K. Sikka, and G. Sharma, “AdaScan: Adaptive scan pooling in deep convolutional neural networks for human action recognition in videos,” in CVPR , 2017
2017
Later among the works it cites.
J.-Y. Kwak, B. C. Ko, and J.-Y. Nam, “Pedestrian intention prediction based on dynamic fuzzy automata for vehicle driving at nighttime,” Infrared Physics & Technology , vol. 81, pp. 41–51, 2017
2017
Later among the works it cites.
A. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior,” in ICCVW , 2017, pp. 206–213
2017
Later among the works it cites.
E. Potapova, M. Zillich, and M. Vincze, “Survey of recent advances in 3d visual attention for robotics,” The International Journal of Robotics Research , vol. 36, no. 11, pp. 1159–1176, 2017
2017
Later among the works it cites.
A. Rasouli and J. K. Tsotsos, “Integrating three mechanisms of visual attention for active visual search,” arXiv preprint arXiv:1702.04292 , 2017
Original
2017
Later among the works it cites.
G. Leifman, D. Rudoy, T. Swedish, E. Bayro-Corrochano, and R. Raskar, “Learning gaze transitions from depth to improve video saliency estimation,” International Conference on Computer Vision (ICCV) , 2017
2017
Later among the works it cites.
A. Palazzi, F. Solera, S. Calderara, S. Alletto, and R. Cucchiara, “Learning where to attend like a human driver,” in Intelligent Vehicles Symposium (IV), 2017 IEEE . IEEE, 2017, pp. 920–925
2017
Later among the works it cites.
A. Tawari and B. Kang, “A computational framework for driver’s visual attention using a fully convolutional architecture,” in Intelligent Vehicles Symposium (IV), 2017 IEEE . IEEE, 2017, pp. 887–894
2017
Later among the works it cites.
T. Amer, K. Ngo, and L. Hasher, “Cultural differences in visual attention: Implications for distraction processing,” British Journal of Psychology , vol. 108, no. 2, pp. 244–258, 2017
2017
Later among the works it cites.
A. Rangesh and M. M. Trivedi, “When vehicles see pedestrians with phones: A multi-cue framework for recognizing phone-based activities of pedestrians,” arXiv preprint arXiv:1801.08234 , 2018
Original
2018
Closest in time.
W. Wang, J. Shen, and L. Shao, “Video salient object detection via fully convolutional networks,” IEEE Transactions on Image Processing , vol. 27, no. 1, pp. 38–49, 2018
2018
Closest in time.
V. Nguyen, “2019 audi a8 level 3 autonomy first-drive: Chasing the perfect ‘jam’,” Online, 2017-11-10. [Online]. Available: https://www.slashgear.com/2019-audi-a8-level-3-autonomy-first-drive-chasing-the-perfect-jam-11499082/
2019
Closest in time.
S. Millward, “Baidu’s driverless cars on china’s roads by 2020,” Online, 2017-05-30. [Online]. Available: https://www.techinasia.com/baidu-autonomous-car-sales-2020
2020
Closest in time.
W. Yang, Y. Wang, and G. Mori, “Recognizing human actions from still images with latent poses,” in CVPR . IEEE, 2010, pp. 2030–2037
2037
Closest in time.
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudinov, R. Zemel, and Y. Bengio, “Show, attend and tell: Neural image caption generation with visual attention,” in International Conference on Machine Learning , 2015, pp. 2048–2057
2057
Closest in time.
Y. Nagai, “The role of motion information in learning human-robot joint attention,” in ICRA . IEEE, 2005, pp. 2069–2074
2074
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Reading the bibliography…