Fetching the paper…
Reading the bibliography…
With the wide penetration of smart robots in multifarious fields, Simultaneous Localization and Mapping (SLAM) technique in robotics has attracted growing attention in the community.
R. C. Smith and P. Cheeseman, “On the representation and estimation of spatial uncertainty,” The international journal of Robotics Research , vol. 5, no. 4, pp. 56–68, 1986
1986
Earlier work this paper cites.
R. C. Smith and P. Cheeseman, “On the representation and estimation of spatial uncertainty,” The international journal of Robotics Research , vol. 5, no. 4, pp. 56–68, 1986
1986
Earlier work this paper cites.
R. Smith, M. Self, and P. Cheeseman, “Estimating uncertain spatial relationships in robotics,” in Autonomous robot vehicles . Springer, 1990, pp. 167–193
1990
Earlier work this paper cites.
R. Smith, M. Self, and P. Cheeseman, “Estimating uncertain spatial relationships in robotics,” in Autonomous robot vehicles . Springer, 1990, pp. 167–193
1990
Earlier work this paper cites.
N. Koenig and A. Howard, “Design and use paradigms for gazebo, an open-source multi-robot simulator,” in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(IEEE Cat. No. 04CH37566) , vol. 3. IEEE, 2004, pp. 2149–2154
2004
Earlier work this paper cites.
N. Koenig and A. Howard, “Design and use paradigms for gazebo, an open-source multi-robot simulator,” in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(IEEE Cat. No. 04CH37566) , vol. 3. IEEE, 2004, pp. 2149–2154
2004
Earlier work this paper cites.
G. Grisettiyz, C. Stachniss, and W. Burgard, “Improving grid-based slam with rao-blackwellized particle filters by adaptive proposals and selective resampling,” in Proceedings of the 2005 IEEE international conference on robotics and automation . IEEE, 2005, pp. 2432–2437
2005
Earlier work this paper cites.
G. Grisettiyz, C. Stachniss, and W. Burgard, “Improving grid-based slam with rao-blackwellized particle filters by adaptive proposals and selective resampling,” in Proceedings of the 2005 IEEE international conference on robotics and automation . IEEE, 2005, pp. 2432–2437
2005
Earlier work this paper cites.
D. M. Cole and P. M. Newman, “Using laser range data for 3d slam in outdoor environments,” in Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. IEEE, 2006, pp. 1556–1563
2006
Earlier work this paper cites.
K. Andreev and H. Racke, “Balanced graph partitioning,” Theory of Computing Systems , vol. 39, no. 6, pp. 929–939, 2006
2006
Earlier work this paper cites.
D. M. Cole and P. M. Newman, “Using laser range data for 3d slam in outdoor environments,” in Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. IEEE, 2006, pp. 1556–1563
2006
Earlier work this paper cites.
K. Andreev and H. Racke, “Balanced graph partitioning,” Theory of Computing Systems , vol. 39, no. 6, pp. 929–939, 2006
2006
Earlier work this paper cites.
G. Grisetti, C. Stachniss, and W. Burgard, “Improved techniques for grid mapping with rao-blackwellized particle filters,” IEEE transactions on Robotics , vol. 23, no. 1, pp. 34–46, 2007
2007
Earlier work this paper cites.
A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “Monoslam: Real-time single camera slam,” IEEE transactions on pattern analysis and machine intelligence , vol. 29, no. 6, pp. 1052–1067, 2007
2007
Earlier work this paper cites.
G. Klein and D. Murray, “Parallel tracking and mapping for small ar workspaces,” in 2007 6th IEEE and ACM international symposium on mixed and augmented reality . IEEE, 2007, pp. 225–234
2007
Earlier work this paper cites.
G. Grisetti, C. Stachniss, and W. Burgard, “Improved techniques for grid mapping with rao-blackwellized particle filters,” IEEE transactions on Robotics , vol. 23, no. 1, pp. 34–46, 2007
2007
Earlier work this paper cites.
A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “Monoslam: Real-time single camera slam,” IEEE transactions on pattern analysis and machine intelligence , vol. 29, no. 6, pp. 1052–1067, 2007
2007
Earlier work this paper cites.
G. Klein and D. Murray, “Parallel tracking and mapping for small ar workspaces,” in 2007 6th IEEE and ACM international symposium on mixed and augmented reality . IEEE, 2007, pp. 225–234
2007
Earlier work this paper cites.
A. Gautam and S. Mohan, “A review of research in multi-robot systems,” in 2012 IEEE 7th international conference on industrial and information systems (ICIIS) . IEEE, 2012, pp. 1–5
2012
Earlier work this paper cites.
D. Zou and P. Tan, “Coslam: Collaborative visual slam in dynamic environments,” IEEE transactions on pattern analysis and machine intelligence , vol. 35, no. 2, pp. 354–366, 2012
2012
Earlier work this paper cites.
A. Gautam and S. Mohan, “A review of research in multi-robot systems,” in 2012 IEEE 7th international conference on industrial and information systems (ICIIS) . IEEE, 2012, pp. 1–5
2012
Earlier work this paper cites.
D. Zou and P. Tan, “Coslam: Collaborative visual slam in dynamic environments,” IEEE transactions on pattern analysis and machine intelligence , vol. 35, no. 2, pp. 354–366, 2012
2012
Earlier work this paper cites.
J. Wu, G. Jiang, L. Zheng, and S. Zhou, “Algorithms for balanced graph bi-partitioning,” in HPCC, CSS, ICESS . IEEE, 2014, pp. 185–188
2014
Earlier work this paper cites.
J. Wu, G. Jiang, L. Zheng, and S. Zhou, “Algorithms for balanced graph bi-partitioning,” in HPCC, CSS, ICESS . IEEE, 2014, pp. 185–188
2014
Earlier work this paper cites.
R. Mur-Artal, J. M. M. Montiel, and J. D. Tardos, “Orb-slam: a versatile and accurate monocular slam system,” IEEE transactions on robotics , vol. 31, no. 5, pp. 1147–1163, 2015
2015
Earlier work this paper cites.
R. Mur-Artal, J. M. M. Montiel, and J. D. Tardos, “Orb-slam: a versatile and accurate monocular slam system,” IEEE transactions on robotics , vol. 31, no. 5, pp. 1147–1163, 2015
2015
Earlier work this paper cites.
C. Cadena, L. Carlone, H. Carrillo, Y. Latif, D. Scaramuzza, J. Neira, I. Reid, and J. J. Leonard, “Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,” IEEE Transactions on robotics , vol. 32, no. 6, pp. 1309–1332, 2016
2016
Earlier work this paper cites.
S. Huang and G. Dissanayake, “A critique of current developments in simultaneous localization and mapping,” International Journal of Advanced Robotic Systems , vol. 13, no. 5, p. 1729881416669482, 2016
2016
Earlier work this paper cites.
S. Saeedi, M. Trentini, M. Seto, and H. Li, “Multiple-robot simultaneous localization and mapping: A review,” Journal of Field Robotics , vol. 33, no. 1, pp. 3–46, 2016
2016
Earlier work this paper cites.
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge computing: Vision and challenges,” IEEE internet of things journal , vol. 3, no. 5, pp. 637–646, 2016
2016
Earlier work this paper cites.
S. Dey and A. Mukherjee, “Robotic slam: a review from fog computing and mobile edge computing perspective,” in Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services , 2016, pp. 153–158
2016
Earlier work this paper cites.
W. Hess, D. Kohler, H. Rapp, and D. Andor, “Real-time loop closure in 2d lidar slam,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2016, pp. 1271–1278
2016
Earlier work this paper cites.
C. Cadena, L. Carlone, H. Carrillo, Y. Latif, D. Scaramuzza, J. Neira, I. Reid, and J. J. Leonard, “Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,” IEEE Transactions on robotics , vol. 32, no. 6, pp. 1309–1332, 2016
2016
Earlier work this paper cites.
S. Huang and G. Dissanayake, “A critique of current developments in simultaneous localization and mapping,” International Journal of Advanced Robotic Systems , vol. 13, no. 5, p. 1729881416669482, 2016
2016
Earlier work this paper cites.
S. Saeedi, M. Trentini, M. Seto, and H. Li, “Multiple-robot simultaneous localization and mapping: A review,” Journal of Field Robotics , vol. 33, no. 1, pp. 3–46, 2016
2016
Earlier work this paper cites.
W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge computing: Vision and challenges,” IEEE internet of things journal , vol. 3, no. 5, pp. 637–646, 2016
2016
Earlier work this paper cites.
S. Dey and A. Mukherjee, “Robotic slam: a review from fog computing and mobile edge computing perspective,” in Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services , 2016, pp. 153–158
2016
Earlier work this paper cites.
W. Hess, D. Kohler, H. Rapp, and D. Andor, “Real-time loop closure in 2d lidar slam,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2016, pp. 1271–1278
2016
Earlier work this paper cites.
T. Taketomi, H. Uchiyama, and S. Ikeda, “Visual slam algorithms: a survey from 2010 to 2016,” IPSJ Transactions on Computer Vision and Applications , vol. 9, no. 1, pp. 1–11, 2017
2017
Earlier work this paper cites.
R. Dubé, A. Gawel, H. Sommer, J. Nieto, R. Siegwart, and C. Cadena, “An online multi-robot slam system for 3d lidars,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 1004–1011
2017
Earlier work this paper cites.
P. Yun, J. Jiao, and M. Liu, “Towards a cloud robotics platform for distributed visual slam,” in International Conference on Computer Vision Systems . Springer, 2017, pp. 3–15
2017
Earlier work this paper cites.
R. Mur-Artal and J. D. Tardós, “Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,” IEEE transactions on robotics , vol. 33, no. 5, pp. 1255–1262, 2017
2017
Cited alongside, same era.
F. Li, S. Yang, X. Yi, and X. Yang, “Corb-slam: a collaborative visual slam system for multiple robots,” in International Conference on Collaborative Computing: Networking, Applications and Worksharing . Springer, 2017, pp. 480–490
2017
Cited alongside, same era.
Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, “A survey on mobile edge computing: The communication perspective,” IEEE Communications Surveys & Tutorials , vol. 19, no. 4, pp. 2322–2358, 2017
2017
Cited alongside, same era.
T. Taketomi, H. Uchiyama, and S. Ikeda, “Visual slam algorithms: a survey from 2010 to 2016,” IPSJ Transactions on Computer Vision and Applications , vol. 9, no. 1, pp. 1–11, 2017
2017
Cited alongside, same era.
M. Labbé and F. Michaud, “Rtab-map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation,” Journal of Field Robotics , vol. 36, no. 2, pp. 416–446, 2019
2019
Later among the works it cites.
W. Shao, S. Vijayarangan, C. Li, and G. Kantor, “Stereo visual inertial lidar simultaneous localization and mapping,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2019, pp. 370–377
2019
Later among the works it cites.
2019
Later among the works it cites.
Y. Almalioglu, M. R. U. Saputra, P. P. de Gusmao, A. Markham, and N. Trigoni, “Ganvo: Unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks,” in 2019 International conference on robotics and automation (ICRA) . IEEE, 2019, pp. 5474–5480
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
R. Dubé, A. Gawel, H. Sommer, J. Nieto, R. Siegwart, and C. Cadena, “An online multi-robot slam system for 3d lidars,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2017, pp. 1004–1011
2017
Cited alongside, same era.
P. Yun, J. Jiao, and M. Liu, “Towards a cloud robotics platform for distributed visual slam,” in International Conference on Computer Vision Systems . Springer, 2017, pp. 3–15
2017
Cited alongside, same era.
R. Mur-Artal and J. D. Tardós, “Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,” IEEE transactions on robotics , vol. 33, no. 5, pp. 1255–1262, 2017
2017
Cited alongside, same era.
F. Li, S. Yang, X. Yi, and X. Yang, “Corb-slam: a collaborative visual slam system for multiple robots,” in International Conference on Collaborative Computing: Networking, Applications and Worksharing . Springer, 2017, pp. 480–490
2017
Cited alongside, same era.
Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, “A survey on mobile edge computing: The communication perspective,” IEEE Communications Surveys & Tutorials , vol. 19, no. 4, pp. 2322–2358, 2017
2017
Cited alongside, same era.
2018
Cited alongside, same era.
X. Xiao and R. Murphy, “A review on snake robot testbeds in granular and restricted maneuverability spaces,” Robotics and Autonomous Systems , vol. 110, pp. 160–172, 2018
2018
Cited alongside, same era.
P. Zhang, H. Wang, B. Ding, and S. Shang, “Cloud-based framework for scalable and real-time multi-robot slam,” in 2018 IEEE ICWS . IEEE, 2018, pp. 147–154
2018
Cited alongside, same era.
2019
Later among the works it cites.
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine et al. , “Scalability in perception for autonomous driving: Waymo open dataset,” in Proceedings of the IEEE/CVF CVPR , 2020, pp. 2446–2454
2020
Later among the works it cites.
H. Wang, C. Zhang, Y. Song, B. Pang, and G. Zhang, “Three-dimensional reconstruction based on visual slam of mobile robot in search and rescue disaster scenarios,” Robotica , vol. 38, no. 2, pp. 350–373, 2020
2020
Later among the works it cites.
C. Wang, C. Wen, Y. Dai, S. Yu, and M. Liu, “Urban 3d modeling with mobile laser scanning: a review,” Virtual Reality & Intelligent Hardware , vol. 2, no. 3, pp. 175–212, 2020
2020
Later among the works it cites.
S. Deng, H. Zhao, W. Fang, J. Yin, S. Dustdar, and A. Y. Zomaya, “Edge intelligence: The confluence of edge computing and artificial intelligence,” IEEE Internet of Things Journal , vol. 7, no. 8, pp. 7457–7469, 2020
2020
Later among the works it cites.
L. Zeng, X. Chen, Z. Zhou, L. Yang, and J. Zhang, “Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,” IEEE/ACM Transactions on Networking , vol. 29, no. 2, pp. 595–608, 2020
2020
Later among the works it cites.
A. J. Ben Ali, Z. S. Hashemifar, and K. Dantu, “Edge-slam: edge-assisted visual simultaneous localization and mapping,” in Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services , 2020, pp. 325–337
2020
Later among the works it cites.
J. Xu, H. Cao, D. Li, K. Huang, C. Qian, L. Shangguan, and Z. Yang, “Edge assisted mobile semantic visual slam,” in INFOCOM . IEEE, 2020, pp. 1828–1837
2020
Later among the works it cites.
F. Nobis, O. Papanikolaou, J. Betz, and M. Lienkamp, “Persistent map saving for visual localization for autonomous vehicles: An orb-slam 2 extension,” in 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE, 2020, pp. 1–9
2020
Later among the works it cites.
T. Du, Y. H. Zeng, J. Yang, C. Z. Tian, and P. F. Bai, “Multi-sensor fusion slam approach for the mobile robot with a bio-inspired polarised skylight sensor,” IET Radar, Sonar & Navigation , vol. 14, no. 12, pp. 1950–1957, 2020
2020
Later among the works it cites.
M. Palieri, B. Morrell, A. Thakur, K. Ebadi, J. Nash, A. Chatterjee, C. Kanellakis, L. Carlone, C. Guaragnella, and A.-a. Agha-Mohammadi, “Locus: A multi-sensor lidar-centric solution for high-precision odometry and 3d mapping in real-time,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 421–428, 2020
2020
Later among the works it cites.
X. Zuo, Y. Yang, P. Geneva, J. Lv, Y. Liu, G. Huang, and M. Pollefeys, “Lic-fusion 2.0: Lidar-inertial-camera odometry with sliding-window plane-feature tracking,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2020, pp. 5112–5119
2020
Later among the works it cites.
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine et al. , “Scalability in perception for autonomous driving: Waymo open dataset,” in Proceedings of the IEEE/CVF CVPR , 2020, pp. 2446–2454
2020
Later among the works it cites.
H. Wang, C. Zhang, Y. Song, B. Pang, and G. Zhang, “Three-dimensional reconstruction based on visual slam of mobile robot in search and rescue disaster scenarios,” Robotica , vol. 38, no. 2, pp. 350–373, 2020
2020
Later among the works it cites.
C. Wang, C. Wen, Y. Dai, S. Yu, and M. Liu, “Urban 3d modeling with mobile laser scanning: a review,” Virtual Reality & Intelligent Hardware , vol. 2, no. 3, pp. 175–212, 2020
2020
Later among the works it cites.
S. Deng, H. Zhao, W. Fang, J. Yin, S. Dustdar, and A. Y. Zomaya, “Edge intelligence: The confluence of edge computing and artificial intelligence,” IEEE Internet of Things Journal , vol. 7, no. 8, pp. 7457–7469, 2020
2020
Later among the works it cites.
L. Zeng, X. Chen, Z. Zhou, L. Yang, and J. Zhang, “Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,” IEEE/ACM Transactions on Networking , vol. 29, no. 2, pp. 595–608, 2020
2020
Later among the works it cites.
A. J. Ben Ali, Z. S. Hashemifar, and K. Dantu, “Edge-slam: edge-assisted visual simultaneous localization and mapping,” in Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services , 2020, pp. 325–337
2020
Later among the works it cites.
J. Xu, H. Cao, D. Li, K. Huang, C. Qian, L. Shangguan, and Z. Yang, “Edge assisted mobile semantic visual slam,” in INFOCOM . IEEE, 2020, pp. 1828–1837
2020
Later among the works it cites.
F. Nobis, O. Papanikolaou, J. Betz, and M. Lienkamp, “Persistent map saving for visual localization for autonomous vehicles: An orb-slam 2 extension,” in 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE, 2020, pp. 1–9
2020
Later among the works it cites.
T. Du, Y. H. Zeng, J. Yang, C. Z. Tian, and P. F. Bai, “Multi-sensor fusion slam approach for the mobile robot with a bio-inspired polarised skylight sensor,” IET Radar, Sonar & Navigation , vol. 14, no. 12, pp. 1950–1957, 2020
2020
Later among the works it cites.
M. Palieri, B. Morrell, A. Thakur, K. Ebadi, J. Nash, A. Chatterjee, C. Kanellakis, L. Carlone, C. Guaragnella, and A.-a. Agha-Mohammadi, “Locus: A multi-sensor lidar-centric solution for high-precision odometry and 3d mapping in real-time,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 421–428, 2020
2020
Later among the works it cites.
X. Zuo, Y. Yang, P. Geneva, J. Lv, Y. Liu, G. Huang, and M. Pollefeys, “Lic-fusion 2.0: Lidar-inertial-camera odometry with sliding-window plane-feature tracking,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2020, pp. 5112–5119
2020
Later among the works it cites.
C. Badue, R. Guidolini, R. V. Carneiro, P. Azevedo, V. B. Cardoso, A. Forechi, L. Jesus, R. Berriel, T. M. Paixao, F. Mutz et al. , “Self-driving cars: A survey,” Expert Systems with Applications , vol. 165, p. 113816, 2021
2021
Closest in time.
D. Rückert and M. Stamminger, “Snake-slam: Efficient global visual inertial slam using decoupled nonlinear optimization,” in 2021 International Conference on Unmanned Aircraft Systems (ICUAS) . IEEE, 2021, pp. 219–228
2021
Closest in time.
B. Schreck, C. Victorri-Vigneau, M. Guerlais, E. Laforgue, and M. Grall-Bronnec, “Slam practice: A review of the literature,” European Addiction Research , vol. 27, no. 3, pp. 161–178, 2021
2021
Closest in time.
E. Vargas, R. Scona, J. S. Willners, T. Luczynski, Y. Cao, S. Wang, and Y. R. Petillot, “Robust underwater visual slam fusing acoustic sensing,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2021, pp. 2140–2146
2021
Closest in time.
2021
Closest in time.
C. Badue, R. Guidolini, R. V. Carneiro, P. Azevedo, V. B. Cardoso, A. Forechi, L. Jesus, R. Berriel, T. M. Paixao, F. Mutz et al. , “Self-driving cars: A survey,” Expert Systems with Applications , vol. 165, p. 113816, 2021
2021
Closest in time.
D. Rückert and M. Stamminger, “Snake-slam: Efficient global visual inertial slam using decoupled nonlinear optimization,” in 2021 International Conference on Unmanned Aircraft Systems (ICUAS) . IEEE, 2021, pp. 219–228
2021
Closest in time.
B. Schreck, C. Victorri-Vigneau, M. Guerlais, E. Laforgue, and M. Grall-Bronnec, “Slam practice: A review of the literature,” European Addiction Research , vol. 27, no. 3, pp. 161–178, 2021
2021
Closest in time.
E. Vargas, R. Scona, J. S. Willners, T. Luczynski, Y. Cao, S. Wang, and Y. R. Petillot, “Robust underwater visual slam fusing acoustic sensing,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2021, pp. 2140–2146
2021
Closest in time.
2021
Closest in time.
S. Wang, R. Clark, H. Wen, and N. Trigoni, “Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2017, pp. 2043–2050
2050
Closest in time.
S. Wang, R. Clark, H. Wen, and N. Trigoni, “Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2017, pp. 2043–2050
2050
Closest in time.
A. Buyval, A. Gabdullin, R. Mustafin, and I. Shimchik, “Realtime vehicle and pedestrian tracking for didi udacity self-driving car challenge,” in 2018 IEEE ICRA . IEEE, 2018, pp. 2064–2069
2069
Closest in time.
A. Buyval, A. Gabdullin, R. Mustafin, and I. Shimchik, “Realtime vehicle and pedestrian tracking for didi udacity self-driving car challenge,” in 2018 IEEE ICRA . IEEE, 2018, pp. 2064–2069
2069
Closest in time.