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We present a new algorithm for predicting the near-term trajectories of road-agents in dense traffic videos.
A new approach to linear filtering and prediction problems
Rudolph Emil Kalman · 1960
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Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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U.s. highway 101 and i-80 dataset
U.S. Federal Highway Administration · 2005
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Monte carlo based threat assessment: Analysis and improvements
Simon Danielsson, Lars Petersson, and Andreas Eidehall · 2007
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Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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Learning OpenCV: Computer vision with the OpenCV library
Gary Bradski and Adrian Kaehler · 2008
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You’ll never walk alone: Modeling social behavior for multi-target tracking
Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
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Unfreezing the robot: Navigation in dense, interacting crowds
Peter Trautman and Andreas Krause · 2010
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Exploiting map information for driver intention estimation at road intersections
Stéphanie Lefèvre, Christian Laugier, and Javier Ibañez-Guzmán · 2011
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Reciprocal n-body collision avoidance
Jur Van Den Berg, Stephen J Guy, Ming Lin, and Dinesh Manocha · 2011
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Who are you with and where are you going?
Kota Yamaguchi, Alexander C Berg, Luis E Ortiz, and Tamara L Berg · 2011
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Predictive maneuver evaluation for enhancement of car-to-x mobility data
Jonas Firl, Hagen Stübing, Sorin A Huss, and Christoph Stiller · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Generating sequences with recurrent neural networks
Alex Graves · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems
Matthias Schreier, Volker Willert, and Jürgen Adamy · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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Identifying driver behaviors using trajectory features for vehicle navigation
Ernest Cheung, Aniket Bera, Emily Kubin, Kurt Gray, and Dinesh Manocha · 2018
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Predicting motion of vulnerable road users using high-definition maps and efficient convnets
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, and Nemanja Djuric · 2018
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Nachiket Deo, Akshay Rangesh, and Mohan M. Trivedi · 2018
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Convolutional social pooling for vehicle trajectory prediction
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Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2015
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Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Glmp-realtime pedestrian path prediction using global and local movement patterns
Aniket Bera, Sujeong Kim, Tanmay Randhavane, Srihari Pratapa, and Dinesh Manocha · 2016
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Kinetic theory of vehicular traffic
MLL Iannini and Ronald Dickman · 2016
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Massive Exploration of Neural Machine Translation Architectures
D. Britz, A. Goldie, T. Luong, and Q. Le · 2017
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Complete camera calibration toolbox for matlab
Jean-Yves Bouguet
Cited in the paper.
Nachiket Deo and Mohan M Trivedi · 2018
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Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
N. Djuric, V. Radosavljevic, H. Cui, T. Nguyen, F.-C. Chou, T.-H. Lin, and J. Schneider · 2018
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Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi · 2018
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AutoRVO: Local Navigation with Dynamic Constraints in Dense Heterogeneous Traffic
Y. Ma, D. Manocha, and W. Wang · 2018
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TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Y. Ma, X. Zhu, S. Zhang, R. Yang, W. Wang, and D. Manocha · 2018
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Social attention: Modeling attention in human crowds
Anirudh Vemula, Katharina Muelling, and Jean Oh · 2018
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Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, and Xindong Wu · 2018
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