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Vehicle trajectory prediction has increasingly relied on data-driven solutions, but their ability to scale to different data domains and the impact of larger dataset sizes on their generalization remain under-explored.
A new approach to linear filtering and prediction problems
Rudolph Emil Kalman · 1960
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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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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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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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Trajnet: Towards a benchmark for human trajectory prediction
Amir Sadeghian, Vineet Kosaraju, Agrim Gupta, Silvio Savarese, and Alexandre Alahi · 2018
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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PyTorch Lightning, Mar. 2019
William Falcon and The PyTorch Lightning team · 2019
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Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kummerle, Hendrik Konigshof, Christoph Stiller, Arnaud de La Fortelle, et al · 2019
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Opentraj: Assessing prediction complexity in human trajectories datasets
Javad Amirian, Bingqing Zhang, Francisco Valente Castro, Juan Jose Baldelomar, Jean-Bernard Hayet, and Julien Pettré · 2020
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The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, and Lutz Eckstein · 2020
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Learning lane graph representations for motion forecasting
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, and Raquel Urtasun · 2020
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Injecting knowledge in data-driven vehicle trajectory predictors
Mohammadhossein Bahari, Ismail Nejjar, and Alexandre Alahi · 2021
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nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, and Sammy Omari · 2021
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Human trajectory prediction via counterfactual analysis
Guangyi Chen, Junlong Li, Jiwen Lu, and Jie Zhou · 2021
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Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R Qi, Yin Zhou, et al · 2021
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One thousand and one hours: Self-driving motion prediction dataset
John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, and Peter Ondruska · 2021
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Human trajectory forecasting in crowds: A deep learning perspective
Parth Kothari, Sven Kreiss, and Alexandre Alahi · 2021
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On exposing the challenging long tail in future prediction of traffic actors
Osama Makansi, Özgün Çiçek, Yassine Marrakchi, and Thomas Brox · 2021
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Shifts: A dataset of real distributional shift across multiple large-scale tasks
Andrey Malinin, Neil Band, German Chesnokov, Yarin Gal, Mark JF Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, et al · 2021
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Attention based vehicle trajectory prediction
Kaouther Messaoud, Itheri Yahiaoui, Anne Verroust-Blondet, and Fawzi Nashashibi · 2021
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Are socially-aware trajectory prediction models really socially-aware?
Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi, Mohammad Saneian, Seyed-Mohsen Moosavi-Dezfooli, and Alexandre Alahi · 2021
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Multi-dataset pretraining: A unified model for semantic segmentation
Bowen Shi, Xiaopeng Zhang, Haohang Xu, Wenrui Dai, Junni Zou, Hongkai Xiong, and Qi Tian · 2021
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Vehicle trajectory prediction works, but not everywhere
Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shaverdikondori, Amir Hossein Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, and Alexandre Alahi · 2022
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Raising context awareness in motion forecasting
Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, and Matthieu Cord · 2022
Q-eanet: Implicit social modeling for trajectory prediction via experience-anchored queries
Jiuyu Chen, Zhongli Wang, Jian Wang, and Baigen Cai · 2023
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Interpretable trajectory prediction for autonomous vehicles viacounterfactual responsibility
Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime Fernàndez Fisac, and Marco Pavone · 2023
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trajdata: A unified interface to multiple human trajectory datasets
Boris Ivanovic, Guanyu Song, Igor Gilitschenski, and Marco Pavone · 2023
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Motiondiffuser: Controllable multi-agent motion prediction using diffusion
Chiyu Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov, et al · 2023
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Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling
Quanyi Li, Zhenghao Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, and Bolei Zhou · 2023
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Advdo: Realistic adversarial attacks for trajectory prediction
Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, and Marco Pavone · 2022
Cited alongside, same era.
Uncertainty estimation for cross-dataset performance in trajectory prediction
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2022
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Latent variable sequential set transformers for joint multi-agent motion prediction
Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D’Souza, Samira Ebrahimi Kahou, Felix Heide, and Christopher Pal · 2022
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Deepcore: A comprehensive library for coreset selection in deep learning
Chengcheng Guo, Bo Zhao, and Yanbing Bai · 2022
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Learning semantic segmentation from multiple datasets with label shifts
Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, and Bohyung Han · 2022
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Motion style transfer: Modular low-rank adaptation for deep motion forecasting
Parth Kothari, Danya Li, Yuejiang Liu, and Alexandre Alahi · 2022
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Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, and Bolei Zhou · 2022
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Wayformer: Motion forecasting via simple & efficient attention networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S Refaat, and Benjamin Sapp · 2023
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Trajeglish: Learning the language of driving scenarios
Jonah Philion, Xue Bin Peng, and Sanja Fidler · 2023
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Learn tarot with mentor: A meta-learned self-supervised approach for trajectory prediction
Mozhgan Pourkeshavarz, Changhe Chen, and Amir Rasouli · 2023
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Adv3d: Generating safety-critical 3d objects through closed-loop simulation
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, and Raquel Urtasun · 2023
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Caspnet++: Joint multi-agent motion prediction, 2023
Maximilian Schäfer, Kun Zhao, and Anton Kummert · 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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How does traffic environment quantitatively affect the autonomous driving prediction?
Wenbo Shao, Yanchao Xu, Jun Li, Chen Lv, Weida Wang, and Hong Wang · 2023
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FEND: A future enhanced distribution-aware contrastive learning framework for long-tail trajectory prediction
Yuning Wang, Pu Zhang, Lei Bai, and Jianru Xue · 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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Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving
Zhen Yao, Xin Li, Bo Lang, and Mooi Choo Chuah · 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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Dataset distillation: A comprehensive review
Ruonan Yu, Songhua Liu, and Xinchao Wang · 2023
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Query-centric trajectory prediction
Zikang Zhou, Jianping Wang, Yung-Hui Li, and Yu-Kai Huang · 2023
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Toward reliable human pose forecasting with uncertainty
Saeed Saadatnejad, Mehrshad Mirmohammadi, Matin Daghyani, Parham Saremi, Yashar Zoroofchi Benisi, Amirhossein Alimohammadi, Zahra Tehraninasab, Taylor Mordan, and Alexandre Alahi · 2024
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Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive?
Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, and Patrick Pérez · 2024
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