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Effective understanding of the environment and accurate trajectory prediction of surrounding dynamic obstacles are indispensable for intelligent mobile systems (like autonomous vehicles and social robots) to achieve safe and high-quality planning when they navigate in highly interactive and crowded scenarios.
People tracking with human motion predictions from social forces
Matthias Luber, Johannes A Stork, Gian Diego Tipaldi, and Kai O Arras · 2010
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Stefano Pellegrini, Andreas Ess, and Luc Van Gool · 2010
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Jacob Scharcanski, Alessandro Bof de Oliveira, Pablo G Cavalcanti, and Yessenia Yari · 2010
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Object-oriented bayesian networks for detection of lane change maneuvers
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Diederik P Kingma and Max Welling · 2013
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, and Silvio Savarese · 2014
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A survey on motion prediction and risk assessment for intelligent vehicles
Stéphanie Lefèvre, Dizan Vasquez, and Christian Laugier · 2014
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Vehicle state estimation based on minimum model error criterion combining with extended kalman filter
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Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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A structured self-attentive sentence embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio · 2017
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Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, and Bernhard Schoelkopf · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2017
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Peter W Battaglia, Jessica B Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, et al · 2018
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Towards a fatality-aware benchmark of probabilistic reaction prediction in highly interactive driving scenarios
Wei Zhan, Liting Sun, Yeping Hu, Jiachen Li, and Masayoshi Tomizuka · 2018
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Social ways: Learning multi-modal distributions of pedestrian trajectories with gans
Javad Amirian, Jean-Bernard Hayet, and Julien Pettré · 2019
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Chiho Choi and Behzad Dariush · 2019
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Joey Hong, Benjamin Sapp, and James Philbin · 2019
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Nachiket Deo, Akshay Rangesh, and Mohan M Trivedi · 2018
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Convolutional social pooling for vehicle trajectory prediction
Nachiket Deo and Mohan M Trivedi · 2018
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Soft+ hardwired attention: An lstm framework for human trajectory prediction and abnormal event detection
Tharindu Fernando, Simon Denman, Sridha Sridharan, and Clinton Fookes · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Generic probabilistic interactive situation recognition and prediction: From virtual to real
Jiachen Li, Hengbo Ma, Wei Zhan, and Masayoshi Tomizuka · 2018
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Development and evaluation of two learning-based personalized driver models for pure pursuit path-tracking behaviors
Zirui Li, Boyang Wang, Jianwei Gong, Tianyun Gao, Chao Lu, and Gang Wang · 2018
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Car-net: Clairvoyant attentive recurrent network
Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, and Silvio Savarese · 2018
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Probabilistic prediction of interactive driving behavior via hierarchical inverse reinforcement learning
Liting Sun, Wei Zhan, and Masayoshi Tomizuka · 2018
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Uncertainty-aware driver trajectory prediction at urban intersections
Xin Huang, Stephen G McGill, Brian C Williams, Luke Fletcher, and Guy Rosman · 2019
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Interaction-aware multi-agent tracking and probabilistic behavior prediction via adversarial learning
Jiachen Li, Hengbo Ma, and Masayoshi Tomizuka · 2019
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Conditional generative neural system for probabilistic trajectory prediction
Jiachen Li, Hengbo Ma, Wei Zhan, and Masayoshi Tomizuka · 2019
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Peeking into the future: Predicting future person activities and locations in videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G Hauptmann, and Li Fei-Fei · 2019
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Wasserstein generative learning with kinematic constraints for probabilistic interactive driving behavior prediction
Hengbo Ma, Jiachen Li, Wei Zhan, and Masayoshi Tomizuka · 2019
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Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, and Dinesh Manocha · 2019
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Human motion trajectory prediction: A survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, and Kai O Arras · 2019
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, and Silvio Savarese · 2019
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Potential field: Interpretable and unified representation for trajectory prediction
Shan Su, Cheng Peng, Jianbo Shi, and Chiho Choi · 2019
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Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kümmerle, Hendrik Königshof, Christoph Stiller, Arnaud de La Fortelle, and Masayoshi Tomizuka · 2019
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Multi-agent tensor fusion for contextual trajectory prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, and Ying Nian Wu · 2019
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