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Forecasting the motion of surrounding vehicles is a critical ability for an autonomous vehicle deployed in complex traffic.
Us highway 101 dataset
J. Colyar and J. Halkias · 2007
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Us highway i-80 dataset
J. Colyar and J. Halkias · 2007
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Recognition of situation classes at road intersections
E. Käfer, C. Hermes, C. Wöhler, H. Ritter, and F. Kummert · 2010
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Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety
C. Laugier, I. E. Paromtchik, M. Perrollaz, M. Yong, J.-D. Yoder, C. Tay, K. Mekhnacha, and A. Nègre · 2011
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Generating sequences with recurrent neural networks
A. Graves · 2013
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Vehicle trajectory prediction based on motion model and maneuver recognition
A. Houenou, P. Bonnifait, V. Cherfaoui, and W. Yao · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
A survey on motion prediction and risk assessment for intelligent vehicles
S. Lefèvre, D. Vasquez, and C. Laugier · 2014
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Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems
M. Schreier, V. Willert, and J. Adamy · 2014
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Dynamic probabilistic drivability maps for lane change and merge driver assistance
S. Sivaraman and M. M. Trivedi · 2014
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Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression
Q. Tran and J. Firl · 2014
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When will it change the lane? a probabilistic regression approach for rarely occurring events
J. Schlechtriemen, F. Wirthmueller, A. Wedel, G. Breuel, and K.-D. Kuhnert · 2015
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Surround vehicles trajectory analysis with recurrent neural networks
A. Khosroshahi, E. Ohn-Bar, and M. M. Trivedi · 2016
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If, when, and how to perform lane change maneuvers on highways
J. Nilsson, J. Silvlin, M. Brannstrom, E. Coelingh, and J. Fredriksson · 2016
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Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network
B. Kim, C. M. Kang, S. H. Lee, H. Chae, J. Kim, C. C. Chung, and J. W. Choi · 2017
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Imitating driver behavior with generative adversarial networks
A. Kuefler, J. Morton, T. Wheeler, and M. Kochenderfer · 2017
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Desire: Distant future prediction in dynamic scenes with interacting agents
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. Torr, and M. Chandraker · 2017
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Towards tactical lane change behavior planning for automated vehicles
S. Ulbrich and M. Maurer · 2015
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Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
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A combined model-and learning-based framework for interaction-aware maneuver prediction
M. Bahram, C. Hubmann, A. Lawitzky, M. Aeberhard, and D. Wollherr · 2016
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
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Generalizable intention prediction of human drivers at intersections
D. J. Phillips, T. A. Wheeler, and M. J. Kochenderfer · 2017
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N. Deo, A. Rangesh, and M. M. Trivedi · 2018
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