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Motion prediction, recently popularized as world models, refers to the anticipation of future agent states or scene evolution, which is rooted in human cognition, bridging perception and decision-making.
Grip++: Enhanced graph-based interaction-aware trajectory prediction for autonomous driving
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On information and sufficiency
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When is a linear control system optimal?
Rudolf Emil Kalman · 1964
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Guiding land vehicles along roadways by computer vision
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Alvinn: An autonomous land vehicle in a neural network
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Adaptive mixtures of local experts
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Long short-term memory
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Modeling and prediction of human behavior
Alex Pentland and Andrew Liu · 1999
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Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
John C Platt · 1999
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Algorithms for inverse reinforcement learning
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Inverse kinematics for humanoid robots
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Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
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Transforming classifier scores into accurate multiclass probability estimates
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Huimin Zhang, Yafei Wang, Junjia Liu, Chengwei Li, Taiyuan Ma, and Chengliang Yin · 2003
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Apprenticeship learning via inverse reinforcement learning
Pieter Abbeel and Andrew Y Ng · 2004
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Imm object tracking for high dynamic driving maneuvers
Nico Kaempchen, Kristian Weiss, Michael Schaefer, and Klaus CJ Dietmayer · 2004
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Avrim Blum · 2005
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Monte carlo road safety reasoning
Adrian Broadhurst, Simon Baker, and Takeo Kanade · 2005
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Weather forecasting with ensemble methods
Tilmann Gneiting and Adrian E Raftery · 2005
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Survey of maneuvering target tracking. part v. multiple-model methods
X Rong Li and Vesselin P Jilkov · 2005
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Algorithmic learning in a random world
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
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Nonlinear constrained tracking of targets on roads
Chun Yang, Michael Bakich, and Erik Blasch · 2005
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Behavioral priors for detection and tracking of pedestrians in video sequences
Gianluca Antonini, Santiago Venegas Martinez, Michel Bierlaire, and Jean Philippe Thiran · 2006
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Real-time 3d collision avoidance method for safe human and robot coexistence
Lucian Balan and Gary M Bone · 2006
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A kernel method for the two-sample-problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch, Bernhard Schölkopf, and Alex Smola · 2006
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Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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Cooperative path prediction in vehicular environments
Panagiotis Lytrivis, George Thomaidis, and Angelos Amditis · 2008
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Comparison and evaluation of advanced motion models for vehicle tracking
Robin Schubert, Eric Richter, and Gerd Wanielik · 2008
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Modelling smooth paths using gaussian processes
Meng Keat Christopher Tay and Christian Laugier · 2008
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Reciprocal velocity obstacles for real-time multi-agent navigation
Jur Van den Berg, Ming Lin, and Dinesh Manocha · 2008
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Interactive navigation of multiple agents in crowded environments
Jur Van Den Berg, Sachin Patil, Jason Sewall, Dinesh Manocha, and Ming Lin · 2008
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Intentional motion on-line learning and prediction
Dizan Vasquez, Thierry Fraichard, Olivier Aycard, and Christian Laugier · 2008
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Fusion of tracks with road constraints
Chun Yang and Erik Blasch · 2008
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Goal-directed pedestrian model for long-term motion prediction with application to robot motion planning
Hsiao Chieh Yen, Han Pang Huang, and Shu Yun Chung · 2008
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Maximum entropy inverse reinforcement learning
Brian D Ziebart, Andrew L Maas, J Andrew Bagnell, Anind K Dey, et al · 2008
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Real time trajectory prediction for collision risk estimation between vehicles
Samer Ammoun and Fawzi Nashashibi · 2009
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Recognition of dangerous situations within a cooperative group of vehicles
Thomas Batz, Kym Watson, and Jurgen Beyerer · 2009
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Statistical models of pedestrian behaviour in the forum
Barbara Majecka · 2009
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Enhanced motion interaction for multimedia applications
Dennis Majoe, Lars Widmer, and Juerg Gutknecht · 2009
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2009
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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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Forecasting financial markets: the psychology of successful investing
Tony Plummer · 2009
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Active learning literature survey
Burr Settles · 2009
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Threat assessment design for driver assistance system at intersections
Georges S Aoude, Brandon D Luders, Kenneth KH Lee, Daniel S Levine, and Jonathan P How · 2010
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A mobile robot that understands pedestrian spatial behaviors
Shu-Yun Chung and Han-Pang Huang · 2010
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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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Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
Leonid Sigal, Alexandru O Balan, and Michael J Black · 2010
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Comparison of markov chain abstraction and monte carlo simulation for the safety assessment of autonomous cars
Matthias Althoff and Alexander Mergel · 2011
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Stable multi-target tracking in real-time surveillance video
Ben Benfold and Ian Reid · 2011
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Multi-hypothesis motion planning for visual object tracking
Haifeng Gong, Jack Sim, Maxim Likhachev, and Jianbo Shi · 2011
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Place-dependent people tracking
Matthias Luber, Gian Diego Tipaldi, and Kai O Arras · 2011
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Minimum snap trajectory generation and control for quadrotors
Daniel Mellinger and Vijay Kumar · 2011
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A large-scale benchmark dataset for event recognition in surveillance video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, JK Aggarwal, Hyungtae Lee, Larry Davis, et al · 2011
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Vehicle dynamics and control
Rajesh Rajamani · 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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A kernel two-sample test
Arthur Gretton, Karsten M Borgwardt, Malte J Rasch, Bernhard Schölkopf, and Alexander Smola · 2012
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Codename revolution: the Nintendo Wii platform
Steven E Jones and George K Thiruvathukal · 2012
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Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Continuous inverse optimal control with locally optimal examples
Sergey Levine and Vladlen Koltun · 2012
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Bayesian learning for neural networks , volume 118
Radford M Neal · 2012
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Efficient human pose estimation from single depth images
Jamie Shotton, Ross Girshick, Andrew Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, et al · 2012
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Probabilistic trajectory prediction with gaussian mixture models
Jürgen Wiest, Matthias Höffken, Ulrich Kreßel, and Klaus Dietmayer · 2012
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Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents
Bolei Zhou, Xiaogang Wang, and Xiaoou Tang · 2012
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Intention-aware motion planning
Tirthankar Bandyopadhyay, Kok Sung Won, Emilio Frazzoli, David Hsu, Wee Sun Lee, and Daniela Rus · 2013
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Interpreting and executing recipes with a cooking robot
Mario Bollini, Stefanie Tellex, Tyler Thompson, Nicholas Roy, and Daniela Rus · 2013
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Person tracking in large public spaces using 3-d range sensors
Dražen Brščić, Takayuki Kanda, Tetsushi Ikeda, and Takahiro Miyashita · 2013
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Sinkhorn distances: Lightspeed computation of optimal transport
Marco Cuturi · 2013
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Hollywood 3d: Recognizing actions in 3d natural scenes
Simon Hadfield and Richard Bowden · 2013
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Velocity-based driver intent inference at urban intersections in the presence of preceding vehicles
Martin Liebner, Felix Klanner, Michael Baumann, Christian Ruhhammer, and Christoph Stiller · 2013
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Human motion behaviour aware planner (hmbap) for path planning in dynamic human environments
Siddharth Oli, Bruno L’Esperance, and Kamal Gupta · 2013
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Pedestrian path prediction with recursive bayesian filters: A comparative study
Nicolas Schneider and Dariu M Gavrila · 2013
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A three-way decomposition of a total effect into direct, indirect, and interactive effects
Tyler J VanderWeele · 2013
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Inferring” dark matter” and” dark energy” from videos
Dan Xie, Sinisa Todorovic, and Song-Chun Zhu · 2013
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Stochastic gradient hamiltonian monte carlo
Tianqi Chen, Emily Fox, and Carlos Guestrin · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Learning intentions for improved human motion prediction
Jos Elfring, René Van De Molengraft, and Maarten Steinbuch · 2014
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Behavior estimation for a complete framework for human motion prediction in crowded environments
Gonzalo Ferrer and Alberto Sanfeliu · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Latent tensor transfer learning for rgb-d action recognition
Chengcheng Jia, Yu Kong, Zhengming Ding, and Yun Raymond Fu · 2014
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Semi-supervised learning with deep generative models
Durk P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling · 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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Modeling local behavior for predicting social interactions towards human tracking
Xu Yan, Ioannis A Kakadiaris, and Shishir K Shah · 2014
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Super normal vector for activity recognition using depth sequences
Xiaodong Yang and YingLi Tian · 2014
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Bayesian intention inference for trajectory prediction with an unknown goal destination
Graeme Best and Robert Fitch · 2015
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Weight uncertainty in neural network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015
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Switched kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking
Biao Jin, Bo Jiu, Tao Su, Hongwei Liu, and Gaofeng Liu · 2015
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Demand forecasting using neural network for supply chain management
Ashvin Kochak and Suman Sharma · 2015
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Bilinear heterogeneous information machine for rgb-d action recognition
Yu Kong and Yun Fu · 2015
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Towards a unified traffic situation estimation model—street-dependent behaviour and motion models
Florian Kuhnt, Ralf Kohlhaas, Thomas Schamm, and J Marius Zöllner · 2015
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Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael Jordan · 2015
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Goal-directed pedestrian prediction
Eike Rehder and Horst Kloeden · 2015
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Timed-elastic-bands for time-optimal point-to-point nonlinear model predictive control
Christoph Rösmann, Frank Hoffmann, and Torsten Bertram · 2015
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A controlled interactive multiple model filter for combined pedestrian intention recognition and path prediction
Andreas T Schulz and Rainer Stiefelhagen · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
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Human-robot co-navigation using anticipatory indicators of human walking motion
Vaibhav V Unhelkar, Claudia Pérez-D’Arpino, Leia Stirling, and Julie A Shah · 2015
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Learning collective crowd behaviors with dynamic pedestrian-agents
Bolei Zhou, Xiaoou Tang, and Xiaogang Wang · 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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Neural network for dynamic human motion prediction
Mohammad Bataineh, Timothy Marler, Karim Abdel-Malek, and Jasbir Arora · 2016
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End to end learning for self-driving cars
Mariusz Bojarski, Davide Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba · 2016
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Travel time prediction with lstm neural network
Yanjie Duan, LV Yisheng, and Fei-Yue Wang · 2016
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Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
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Motion planning based on learning models of pedestrian and driver behaviors
Yanlei Gu, Yoriyoshi Hashimoto, Li-Ta Hsu, and Shunsuke Kamijo · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Generative adversarial imitation learning
Jonathan Ho and Stefano Ermon · 2016
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Bridging the divide in financial market forecasting: machine learners vs. financial economists
Ming-Wei Hsu, Stefan Lessmann, Ming-Chien Sung, Tiejun Ma, and Johnnie EV Johnson · 2016
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Intent-aware long-term prediction of pedestrian motion
Vasiliy Karasev, Alper Ayvaci, Bernd Heisele, and Stefano Soatto · 2016
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Surround vehicles trajectory analysis with recurrent neural networks
Aida Khosroshahi, Eshed Ohn-Bar, and Mohan Manubhai Trivedi · 2016
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Algorithmic safety measures for intelligent industrial co-robots
Changliu Liu and Masayoshi Tomizuka · 2016
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Next generation simulation (ngsim) vehicle trajectories and supporting data
U.S. Department of Transportation Federal Highway Administration · 2016
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Causal inference in statistics: a primer
Judea Pearl · 2016
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Learning social etiquette: Human trajectory prediction in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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Information gathering actions over human internal state
Dorsa Sadigh, S Shankar Sastry, Sanjit A Seshia, and Anca Dragan · 2016
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Eder Santana and George Hotz · 2016
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Medical robotics and computer-integrated surgery
Russell H Taylor, Arianna Menciassi, Gabor Fichtinger, Paolo Fiorini, and Paolo Dario · 2016
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Computational human-robot interaction
Andrea Thomaz, Guy Hoffman, Maya Cakmak, et al · 2016
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Novel planning-based algorithms for human motion prediction
Dizan Vasquez · 2016
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Pedestrian behavior modeling from stationary crowds with applications to intelligent surveillance
Shuai Yi, Hongsheng Li, and Xiaogang Wang · 2016
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Visual path prediction in complex scenes with crowded moving objects
YoungJoon Yoo, Kimin Yun, Sangdoo Yun, JongHee Hong, Hawook Jeong, and Jin Young Choi · 2016
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A non-conservatively defensive strategy for urban autonomous driving
Wei Zhan, Changliu Liu, Ching-Yao Chan, and Masayoshi Tomizuka · 2016
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An lstm network for highway trajectory prediction
Florent Altché and Arnaud de La Fortelle · 2017
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Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, and Sergey Levine · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
Yu Fan Chen, Miao Liu, Michael Everett, and Jonathan P How · 2017
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Joint distribution optimal transportation for domain adaptation
Nicolas Courty, Rémi Flamary, Amaury Habrard, and Alain Rakotomamonjy · 2017
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Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Improved trajectory planning for on-road self-driving vehicles via combined graph search, optimization & topology analysis
Tianyu Gu · 2017
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger · 2017
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Anticipatory robot assistance for the prevention of human static joint overloading in human–robot collaboration
Wansoo Kim, Jinoh Lee, Luka Peternel, Nikos Tsagarakis, and Arash Ajoudani · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
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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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Learning without forgetting
Zhizhong Li and Derek Hoiem · 2017
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Distributed conflict resolution for connected autonomous vehicles
Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, and Masayoshi Tomizuka · 2017
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Gradient episodic memory for continual learning
David Lopez-Paz and Marc’Aurelio Ranzato · 2017
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Forecasting interactive dynamics of pedestrians with fictitious play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M Kitani · 2017
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Using road topology to improve cyclist path prediction
Ewoud AI Pool, Julian FP Kooij, and Dariu M Gavrila · 2017
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Coupling risk attitude and motion data mining in a preemtive construction safety framework
Khandakar M Rashid, Songjukta Datta, and Amir H Behzadan · 2017
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Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi · 2017
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Learning inverse dynamics models in o (n) time with lstm networks
Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, and Jan Peters · 2017
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean · 2017
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Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim · 2017
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Revisiting unreasonable effectiveness of data in deep learning era
Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta · 2017
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen and Harri Valpola · 2017
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Attention is all you need
A Vaswani · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
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Long short term memory for driver intent prediction
Alex Zyner, Stewart Worrall, James Ward, and Eduardo Nebot · 2017
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A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
Tanveer Ahmad, Huanxin Chen, Yabin Guo, and Jiangyu Wang · 2018
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Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit Ogale · 2018
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Context-aware trajectory prediction
Federico Bartoli, Giuseppe Lisanti, Lamberto Ballan, and Alberto Del Bimbo · 2018
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A computationally efficient model for pedestrian motion prediction
Ivo Batkovic, Mario Zanon, Nils Lubbe, and Paolo Falcone · 2018
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Relational inductive biases, deep learning, and graph networks
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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IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
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Efficient lifelong learning with a-gem
Arslan Chaudhry, Marc’Aurelio Ranzato, Marcus Rohrbach, and Mohamed Elhoseiny · 2018
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End-to-end driving via conditional imitation learning
Felipe Codevilla, Matthias Müller, Antonio López, Vladlen Koltun, and Alexey Dosovitskiy · 2018
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Long-term path prediction in urban scenarios using circular distributions
Pasquale Coscia, Francesco Castaldo, Francesco AN Palmieri, Alexandre Alahi, Silvio Savarese, and Lamberto Ballan · 2018
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Stochastic video generation with a learned prior
Emily Denton and Rob Fergus · 2018
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Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms
Nachiket Deo and Mohan M Trivedi · 2018
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How would surround vehicles move? a unified framework for maneuver classification and motion prediction
Nachiket Deo, Akshay Rangesh, and Mohan M Trivedi · 2018
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Deep tracking in the wild: End-to-end tracking using recurrent neural networks
Julie Dequaire, Peter Ondrúška, Dushyant Rao, Dominic Wang, and Ingmar Posner · 2018
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A new multi-vehicle trajectory generator to simulate vehicle-to-vehicle encounters
Wenhao Ding, Wenshuo Wang, and Ding Zhao · 2018
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Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection
Di Feng, Lars Rosenbaum, and Klaus Dietmayer · 2018
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Probabilistically safe robot planning with confidence-based human predictions
Jaime F Fisac, Andrea Bajcsy, Sylvia L Herbert, David Fridovich-Keil, Steven Wang, Claire J Tomlin, and Anca D Dragan · 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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A framework for probabilistic generic traffic scene prediction
Yeping Hu, Wei Zhan, and Masayoshi Tomizuka · 2018
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Probabilistic prediction of vehicle semantic intention and motion
Yeping Hu, Wei Zhan, and Masayoshi Tomizuka · 2018
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The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems
Robert Krajewski, Julian Bock, Laurent Kloeker, and Lutz Eckstein · 2018
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Measuring the intrinsic dimension of objective landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu, and Jason Yosinski · 2018
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The convex feasible set algorithm for real time optimization in motion planning
Changliu Liu, Chung-Yen Lin, and Masayoshi Tomizuka · 2018
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Conditional adversarial domain adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael I Jordan · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Packnet: Adding multiple tasks to a single network by iterative pruning
Arun Mallya and Svetlana Lazebnik · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture
Seong Hyeon Park, ByeongDo Kim, Chang Mook Kang, Chung Choo Chung, and Jun Won Choi · 2018
Cited alongside, same era.
The book of why: the new science of cause and effect
Judea Pearl and Dana Mackenzie · 2018
Cited alongside, same era.
Pedestrian prediction by planning using deep neural networks
Eike Rehder, Florian Wirth, Martin Lauer, and Christoph Stiller · 2018
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R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Nicholas Rhinehart, Kris M Kitani, and Paul Vernaza · 2018
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Trajnet: Towards a benchmark for human trajectory prediction
Amir Sadeghian, Vineet Kosaraju, Agrim Gupta, Silvio Savarese, and Alexandre Alahi · 2018
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Multimodal probabilistic model-based planning for human-robot interaction
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Air pollution forecasting application based on deep learning model and optimization algorithm
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Training compute-optimal large language models
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, et al · 2022
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Cogvideo: Large-scale pretraining for text-to-video generation via transformers
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, and Jie Tang · 2022
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Edward Schmerling, Karen Leung, Wolf Vollprecht, and Marco Pavone · 2018
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Evidential deep learning to quantify classification uncertainty
Murat Sensoy, Lance Kaplan, and Melih Kandemir · 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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Courteous autonomous cars
Liting Sun, Wei Zhan, Masayoshi Tomizuka, and Anca D Dragan · 2018
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Evaluation of spatio-temporal forecasting methods in various smart city applications
Akin Tascikaraoglu · 2018
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Ss-lstm: A hierarchical lstm model for pedestrian trajectory prediction
Hao Xue, Du Q Huynh, and Mark Reynolds · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, and Andrea Dittadi · 2022
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ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, and Dacheng Tao · 2022
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Causal-based time series domain generalization for vehicle intention prediction
Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, and Wei Zhan · 2022
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Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Junjie Huang and Guan Huang · 2022
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A survey on trajectory-prediction methods for autonomous driving
Yanjun Huang, Jiatong Du, Ziru Yang, Zewei Zhou, Lin Zhang, and Hong Chen · 2022
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Interpretable self-aware neural networks for robust trajectory prediction
Masha Itkina and Mykel Kochenderfer · 2022
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Heterogeneous-agent trajectory forecasting incorporating class uncertainty
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan Mcllister, Adrien Gaidon, and Marco Pavone · 2022
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Propagating state uncertainty through trajectory forecasting
Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, and Marco Pavone · 2022
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Human-robot interactions in manufacturing: A survey of human behavior modeling
Roohollah Jahanmahin, Sara Masoud, Jeremy Rickli, and Ana Djuric · 2022
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Improving the intra-class long-tail in 3d detection via rare example mining
Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, and Dragomir Anguelov · 2022
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Geonerf: Generalizing nerf with geometry priors
M. Johari, Y. Lepoittevin, and F. Fleuret · 2022
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Differentiable raycasting for self-supervised occupancy forecasting
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, and Deva Ramanan · 2022
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Improving pedestrian prediction models with self-supervised continual learning
Luzia Knoedler, Chadi Salmi, Hai Zhu, Bruno Brito, and Javier Alonso-Mora · 2022
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A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
Yann LeCun · 2022
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Important object identification with semi-supervised learning for autonomous driving
Jiachen Li, Haiming Gang, Hengbo Ma, Masayoshi Tomizuka, and Chiho Choi · 2022
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Multi-objective diverse human motion prediction with knowledge distillation
Hengbo Ma, Jiachen Li, Ramtin Hosseini, Masayoshi Tomizuka, and Chiho Choi · 2022
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Occupancy flow fields for motion forecasting in autonomous driving
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, and Dragomir Anguelov · 2022
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Analyzing multiagent interactions in traffic scenes via topological braids
Christoforos Mavrogiannis, Jonathan DeCastro, and Siddhartha S Srinivasa · 2022
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Control-aware prediction objectives for autonomous driving
Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, and Adrien Gaidon · 2022
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Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks
Benedikt Mersch, Xieyuanli Chen, Jens Behley, and Cyrill Stachniss · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Scene transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, et al · 2022
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Forecasting from lidar via future object detection
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, and Deva Ramanan · 2022
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Urban radiance fields
Konstantinos Rematas, Andrew Liu, Pratul P Srinivasan, Jonathan T Barron, Andrea Tagliasacchi, Thomas Funkhouser, and Vittorio Ferrari · 2022
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Driver dojo: A benchmark for generalizable reinforcement learning for autonomous driving
Sebastian Rietsch, Shih-Yuan Huang, Georgios Kontes, Axel Plinge, and Christopher Mutschler · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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The atlas benchmark: An automated evaluation framework for human motion prediction
Andrey Rudenko, Luigi Palmieri, Wanting Huang, Achim J Lilienthal, and Kai O Arras · 2022
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Motion transformer with global intention localization and local movement refinement
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2022
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Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2022
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A system-level view on out-of-distribution data in robotics
Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M Richards, Yixiao Sun, Edward Schmerling, and Marco Pavone · 2022
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Interaction modeling with multiplex attention
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J Kochenderfer, Jiajun Wu, and Nick Haber · 2022
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Block-nerf: Scalable large scene neural view synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P Srinivasan, Jonathan T Barron, and Henrik Kretzschmar · 2022
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Prediction-uncertainty-aware decision-making for autonomous vehicles
Xiaolin Tang, Kai Yang, Hong Wang, Jiahang Wu, Yechen Qin, Wenhao Yu, and Dongpu Cao · 2022
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Learning spatiotemporal occupancy grid maps for lifelong navigation in dynamic scenes
Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, and Timothy D Barfoot · 2022
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Safety assurances for human-robot interaction via confidence-aware game-theoretic human models
Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, and Anca D Dragan · 2022
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Dynamics-aware spatiotemporal occupancy prediction in urban environments
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, and Mykel J Kochenderfer · 2022
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Social-ssl: Self-supervised cross-sequence representation learning based on transformers for multi-agent trajectory prediction
Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, and Wen-Huang Cheng · 2022
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Three types of incremental learning
Gido M van de Ven, Tinne Tuytelaars, and Andreas S Tolias · 2022
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Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction
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Phenaki: Variable length video generation from open domain textual descriptions
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MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation
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Questsim: Human motion tracking from sparse sensors with simulated avatars
Alexander Winkler, Jungdam Won, and Yuting Ye · 2022
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Continual learning-based trajectory prediction with memory augmented networks
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Generating videos with dynamics-aware implicit generative adversarial networks
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, and Jinwoo Shin · 2022
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Grouptron: Dynamic multi-scale graph convolutional networks for group-aware dense crowd trajectory forecasting
Rui Zhou, Hongyu Zhou, Huidong Gao, Masayoshi Tomizuka, Jiachen Li, and Zhuo Xu · 2022
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Online model adaptation with feedforward compensation
Abulikemu Abuduweili and Changliu Liu · 2023
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Learning to forecast aleatoric and epistemic uncertainties over long horizon trajectories
Aastha Acharya, Rebecca Russell, and Nisar R Ahmed · 2023
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Implicit occupancy flow fields for perception and prediction in self-driving
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Synthetic data from diffusion models improves imagenet classification
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A set of control points conditioned pedestrian trajectory prediction
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Generative causal representation learning for out-of-distribution motion forecasting, 2023
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Affordances from human videos as a versatile representation for robotics
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Lifelong vehicle trajectory prediction framework based on generative replay
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Belfusion: Latent diffusion for behavior-driven human motion prediction
German Barquero, Sergio Escalera, and Cristina Palmero · 2023
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Align your latents: High-resolution video synthesis with latent diffusion models
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Robust trajectory prediction against adversarial attacks
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Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders
Jie Cheng, Xiaodong Mei, and Ming Liu · 2023
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Parting with misconceptions about learning-based vehicle motion planning
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, and Kashyap Chitta · 2023
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Disentangled neural relational inference for interpretable motion prediction
Victoria M Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, and Mykel J Kochenderfer · 2023
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Task-relevant failure detection for trajectory predictors in autonomous vehicles
Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, and Marco Pavone · 2023
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Trafficgen: Learning to generate diverse and realistic traffic scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou · 2023
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Continual trajectory prediction with uncertainty-aware generative memory replay
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The tilted variational autoencoder: Improving out-of-distribution detection
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Magicdrive: Street view generation with diverse 3d geometry control
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Causal intervention for human trajectory prediction with cross attention mechanism
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Adaptive and simultaneous trajectory prediction for heterogeneous agents via transferable hierarchical transformer network
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Denoising diffusion models for out-of-distribution detection
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Vip3d: End-to-end visual trajectory prediction via 3d agent queries
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Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
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Streetsurf: Extending multi-view implicit surface reconstruction to street views
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Improving vehicle trajectory prediction with online learning
Ce Hao, Yuying Chen, Siyuan Cheng, and Hongbo Zhang · 2023
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Online adaptive temporal memory with certainty estimation for human trajectory prediction
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Expanding the deployment envelope of behavior prediction via adaptive meta-learning
Boris Ivanovic, James Harrison, and Marco Pavone · 2023
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Adriver-i: A general world model for autonomous driving
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Motiondiffuser: Controllable multi-agent motion prediction using diffusion
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Diffstack: A differentiable and modular control stack for autonomous vehicles
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Point cloud forecasting as a proxy for 4d occupancy forecasting
Tarasha Khurana, Peiyun Hu, David Held, and Deva Ramanan · 2023
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Predict to detect: Prediction-guided 3D object detection using sequential images
Sanmin Kim, Youngseok Kim, In-Jae Lee, and Dongsuk Kum · 2023
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Motion style transfer: Modular low-rank adaptation for deep motion forecasting
Parth Kothari, Danya Li, Yuejiang Liu, and Alexandre Alahi · 2023
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Learning skillful medium-range global weather forecasting
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Sept: Towards efficient scene representation learning for motion prediction
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Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods
Karen Leung, Nikos Aréchiga, and Marco Pavone · 2023
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Pedestrian crossing action recognition and trajectory prediction with 3d human keypoints
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Game theory-based simultaneous prediction and planning for autonomous vehicle navigation in crowded environments
Kunming Li, Yijun Chen, Mao Shan, Jiachen Li, Stewart Worrall, and Eduardo Nebot · 2023
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Self-supervised pretraining based on noise-free motion reconstruction and semantic-aware contrastive learning for human motion prediction
Qin Li and Yong Wang · 2023
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Semi-supervised transfer learning with hierarchical self-regularization
Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, and Chengzhong Xu · 2023
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MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, and Dragomir Anguelov · 2023
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Safe planning in dynamic environments using conformal prediction
Lars Lindemann, Matthew Cleaveland, Gihyun Shim, and George J Pappas · 2023
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Proactive human-robot co-assembly: Leveraging human intention prediction and robust safe control
Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, and Changliu Liu · 2023
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L Rus, and Song Han · 2023
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Self-supervised image-to-point distillation via semantically tolerant contrastive loss
Anas Mahmoud, Jordan SK Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, and Steven L Waslander · 2023
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Time series prediction using deep learning methods in healthcare
Mohammad Amin Morid, Olivia R Liu Sheng, and Joseph Dunbar · 2023
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Wayformer: Motion forecasting via simple & efficient attention networks
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Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, and Yu-Xiong Wang · 2023
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What Truly Matters in Trajectory Prediction for Autonomous Driving?
Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, and David Hsu · 2023
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Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction
Atanas Poibrenski, Farzad Nozarian, Farzaneh Rezaeianaran, and Christian Müller · 2023
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Fjmp: Factorized joint multi-agent motion prediction over learned directed acyclic interaction graphs
Luke Rowe, Martin Ethier, Eli-Henry Dykhne, and Krzysztof Czarnecki · 2023
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A generic diffusion-based approach for 3d human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, and Alexandre Alahi · 2023
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Motionlm: Multi-agent motion forecasting as language modeling
Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S Refaat, Rami Al-Rfou, and Benjamin Sapp · 2023
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Failure detection for motion prediction of autonomous driving: An uncertainty perspective
Wenbo Shao, Yan Xu, Liang Peng, Jun Li, and Hong Wang · 2023
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Metatraj: meta-learning for cross-scene cross-object trajectory prediction
Xiaodan Shi, Haoran Zhang, Wei Yuan, and Ryosuke Shibasaki · 2023
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Linking vision and motion for self-supervised object-centric perception
Kaylene C Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire Tomlin, and Christopher P Burgess · 2023
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Drivescenegen: Generating diverse and realistic driving scenarios from scratch
Shuo Sun, Zekai Gu, Tianchen Sun, Jiawei Sun, Chengran Yuan, Yuhang Han, Dongen Li, and Marcelo H Ang Jr · 2023
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The bitter lesson
Richard S. Sutton · 2023
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Language conditioned traffic generation
Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, and Philipp Kraehenbuehl · 2023
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Physics constrained motion prediction with uncertainty quantification
Renukanandan Tumu, Lars Lindemann, Truong X. Nghiem, and Rahul Mangharam · 2023
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Joint out-of-distribution detection and uncertainty estimation for trajectory prediction
Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, and Vasileios Belagiannis · 2023
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Argoverse 2: Next generation datasets for self-driving perception and forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, et al · 2023
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autolights: A robust multi-camera traffic light detection and tracking system
Sean Wu, Nicole Amenta, Jiachen Zhou, Sandro Papais, and Jonathan Kelly · 2023
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Mv-map: Offboard hd-map generation with multi-view consistency
Ziyang Xie, Ziqi Pang, and Yu-Xiong Wang · 2023
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Precln: Pretrained-based contrastive learning network for vehicle trajectory prediction
Bingqi Yan, Geng Zhao, Lexue Song, Yanwei Yu, and Junyu Dong · 2023
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Improving the generalizability of trajectory prediction models with frenet-based domain normalization
Luyao Ye, Zikang Zhou, and Jianping Wang · 2023
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Bioslam: A bioinspired lifelong memory system for general place recognition
Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Lingyun Xu, Changliu Liu, and Sebastian Scherer · 2023
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Adaptive trajectory prediction without catastrophic forgetting
ChunYu Zhi, HuaiJiang Sun, and Tian Xu · 2023
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Guided conditional diffusion for controllable traffic simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, and Marco Pavone · 2023
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Accelerating reinforcement learning for autonomous driving using task-agnostic and ego-centric motion skills
Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, and Yu Liu · 2023
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Estimating neural network robustness via lipschitz constant and architecture sensitivity
Abulikemu Abuduweili and Changliu Liu · 2024
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Wehelp: A shared autonomy system for wheelchair users
Abulikemu Abuduweili, Alice Wu, Tianhao Wei, and Weiye Zhao · 2024
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Uno: Unsupervised occupancy fields for perception and forecasting
Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, and Raquel Urtasun · 2024
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Singulartrajectory: Universal trajectory predictor using diffusion model
Inhwan Bae, Young-Jae Park, and Hae-Gon Jeon · 2024
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π \pi 0: A vision-language-action flow model for general robot control, 2024
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Pasco: Urban 3d panoptic scene completion with uncertainty awareness
Anh-Quan Cao, Angela Dai, and Raoul De Charette · 2024
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Detra: A unified model for object detection and trajectory forecasting
Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, and Raquel Urtasun · 2024
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pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann · 2024
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Womd-lidar: Raw sensor dataset benchmark for motion forecasting
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, et al · 2024
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Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking
Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, et al · 2024
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Comparative safety performance of autonomous- and human drivers: A real-world case study of the waymo driver
L. Di Lillo, T. Gode, X. Zhou, M. Atzei, R. Chen, and T. Victor · 2024
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Lord: Adapting differentiable driving policies to distribution shifts
Christopher Diehl, Peter Karkus, Sushant Veer, Marco Pavone, and Torsten Bertram · 2024
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