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Advanced Driver Assistance Systems (ADAS) have made driving safer over the last decade.
An iterative image registration technique with an application to stereo vision
B. Lucas and T. Kanade · 1981
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Detection and tracking of point features
C. Tomasi and T. Kanade · 1991
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Good features to track
J. Shi and C. Tomasi · 1994
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An input output hmm architecture
Y. Bengio and O. Frasconi · 1995
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Support-vector networks
C. Cortes and V. Vapnik · 1995
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Hierarchical recurrent neural networks for long-term dependencies
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Long short-term memory
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A driver behavior recognition method based on a driver model framework
N. Kuge, T. Yamamura, O. Shimoyama, and A. Liu · 2000
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Graphical models for driver behavior recognition in a smartcar
N. Oliver and A. P. Pentland · 2000
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Active appearance models
T. F. Cootes, G. J. Edwards, and C. J. Taylor · 2001
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
J. Lafferty, A. McCallum, and F. Pereira · 2001
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Sparse bayesian learning and the relevance vector machine
M. E. Tipping · 2001
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Vision in and out of vehicles
L. Fletcher, N. Apostoloff, L. Petersson, and A. Zelinsky · 2003
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Active appearance models revisited
I. Matthews and S. Baker · 2004
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The influence of passengers on the risk of the driver causing a car collision in spain: Analysis of collisions from 1990 to 1999
T. Rueda-Domingo, P. Lardelli-Claret, J. Luna del Castillo, J. Jimenez-Moleon, M. Garcia-Martin, and A. Bueno-Cavanillas · 2004
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Robust real-time face detection
P. Viola and M. J. Jones · 2004
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Learning motion patterns of people for compliant robot motion
M. Bennewitz, W. Burgard, G. Cielniak, and S. Thrun · 2005
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Correlating driver gaze with the road scene for driver assistance systems
L. Fletcher, G. Loy, N. Barnes, and A. Zelinsky · 2005
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Probabilistic robotics
S. Thrun, W. Burgard, and D. Fox · 2005
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A dynamic conditional random field model for object segmentation in image sequences
Y. Wang and Q. Ji · 2005
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Hidden conditional random fields for gesture recognition
S. B. Wang, A. Quattoni, L. Morency, D. Demirdjian, and T. Darrell · 2006
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Latent-dynamic discriminative models for continuous gesture recognition
L. Morency, A. Quattoni, and T. Darrell · 2007
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A human aware mobile robot motion planner
E. A. Sisbot, L. F. Marin-Urias, R. Alami, and T. Simeon · 2007
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Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety
M. Trivedi, T. Gandhi, and J. McCall · 2007
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Continuous driver intention recognition with hidden markov models
H. Berndt, J. Emmert, and K. Dietmayer · 2008
Cited alongside, same era.
Planning-based prediction for pedestrians
B. D. Ziebart, N. Ratliff, G. Gallagher, C. Mertz, K. Peterson, J. A. Bagnell, M. Hebert, A. K. Dey, and S. Srinivasa · 2009
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Facial expression analysis for predicting unsafe driving behavior
M. E. Jabon, J. N. Bailenson, E. Pontikakis, L. Takayama, and C. Nass · 2010
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Forward-backward error: Automatic detection of tracking failures
Z. Kalal, K. Mikolajczyk, and J. Matas · 2010
Cited alongside, same era.
A survey of recent advances in face detection
C. Zhang and Z. Zhang · 2010
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On the expressive power of deep architectures
Y. Bengio and O. Delalleau · 2011
Cited alongside, same era.
Beyond geometric path planning: Learning context-driven user preferences via sub-optimal feedback
A. Jain, S. Sharma, and A. Saxena · 2013
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Learning human activities and object affordances from rgb-d videos
H. Koppula, R. Gupta, and A. Saxena · 2013
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Learning-based approach for online lane change intention prediction
P. Kumar, M. Perrollaz, S. Lefevre, and C. Laugier · 2013
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Human-robot collaborative manipulation planning using early prediction of human motion
J. Mainprice and D. Berenson · 2013
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Action recognition with improved trajectories
H. Wang and C. Schmid · 2013
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Probabilistic movement modeling for intention inference in human-robot interaction
Z. Wang, K. Mülling, M. Deisenroth, H. Amor, D. Vogt, B. Schölkopf, and J. Peters · 2013
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Decision forests for classification, regression, density estimation, manifold learning and semi-supervised learning
A. Criminisi, J. Shotton, and E. Konukoglu · 2011
Cited alongside, same era.
On-road prediction of driver’s intent with multimodal sensory cues
A. Doshi, B. Morris, and M. M. Trivedi · 2011
Cited alongside, same era.
Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety
C. Laugier, I. E. Paromtchik, M. Perrollaz, MY. Yong, J-D. Yoder, C. Tay, K. Mekhnacha, and A. Negre · 2011
Cited alongside, same era.
Lane change intent prediction for driver assistance: On-road design and evaluation
B. Morris, A. Doshi, and M. Trivedi · 2011
Cited alongside, same era.
Multimodal deep learning
J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Y. Ng · 2011
Cited alongside, same era.
Human activity prediction: Early recognition of ongoing activities from streaming videos
M. S. Ryoo · 2011
Cited alongside, same era.
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Supervised descent method and its applications to face alignment
X. Xiong and F. De la Torre · 2013
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Will this car change the lane?—turn signal recognition in the frequency domain
B. Frohlich, M. Enzweiler, and U. Franke · 2014
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Deepspeech: Scaling up end-to-end speech recognition
A. Hannun, C. Case, J. Casper, B. Catanzaro, G. Diamos, E. Elsen, R. Prenger, S. Satheesh, S. Sengupta, and A. Coates · 2014
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Anticipatory planning for humanrobot teams
H. Koppula, A. Jain, and A. Saxena · 2014
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Tell me dave: Context-sensitive grounding of natural language to manipulation instructions
D. K. Misra, J. Sung, K. Lee, and A. Saxena · 2014
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Look at the driver, look at the road: No distraction! no accident!
M. Rezaei and R. Klette · 2014
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Semiautonomous vehicular control using driver modeling
V. Shia, Y. Gao, R. Vasudevan, K. D. Campbell, T. Lin, F. Borrelli, and R. Bajcsy · 2014
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
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Looking-in and looking-out vision for urban intelligent assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking
A. Tawari, S. Sivaraman, M. Trivedi, T. Shannon, and M. Tippelhofer · 2014
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Supervised descent method for solving nonlinear least squares problems in computer vision
X. Xiong and F. De la Torre · 2014
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Rmsprop and equilibrated adaptive learning rates for non-convex optimization
Y. N. Dauphin, H. de Vries, J. Chung, and Y. Bengio · 2015
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Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. A. Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2015
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Improved driver modeling for human-in-the-loop vehicular control
K. Driggs-Campbell, V. Shia, and R. Bajcsy · 2015
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Hierarchical recurrent neural network for skeleton based action recognition
Y. Du, W. Wang, and L. Wang · 2015
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Neuralmodels
A. Jain · 2015
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Anticipating human activities using object affordances for reactive robotic response
H. Koppula and A. Saxena · 2015
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Robobarista: Object part-based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds
J. Sung, S. H. Jin, and A. Saxena · 2015
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