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Autonomous driving system aims for safe and social-consistent driving through the behavioral integration among interactive agents.
Theory of braids
Emil Artin · 1947
Earlier work this paper cites.
Faster line segment intersection
Franklin Antonio · 1992
Earlier work this paper cites.
Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
Earlier work this paper cites.
Topological invariants in braid theory
Mitchell A Berger · 2001
Earlier work this paper cites.
Contingency planning over probabilistic obstacle predictions for autonomous road vehicles
Jason Hardy and Mark Campbell · 2013
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A non-conservatively defensive strategy for urban autonomous driving
Wei Zhan, Changliu Liu, Ching-Yao Chan, and Masayoshi Tomizuka · 2016
Earlier work this paper cites.
Learning and inferring “dark matter” and predicting human intents and trajectories in videos
Dan Xie, Tianmin Shu, Sinisa Todorovic, and Song-Chun Zhu · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
PointNet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
ChauffeurNet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit Ogale · 2018
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Intent-aware multi-agent reinforcement learning
Siyuan Qi and Song-Chun Zhu · 2018
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Multiple futures prediction
Charlie Tang and Russ R Salakhutdinov · 2019
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PRANK: motion prediction based on ranking
Yuriy Biktairov, Maxim Stebelev, Irina Rudenko, Oleh Shliazhko, and Boris Yangel · 2020
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EvolveGraph: Multi-agent trajectory prediction with dynamic relational reasoning
Jiachen Li, Fan Yang, Masayoshi Tomizuka, and Chiho Choi · 2020
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VectorNet: Encoding hd maps and agent dynamics from vectorized representation
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, and Cordelia Schmid · 2020
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Multimodal trajectory prediction via topological invariance for navigation at uncontrolled intersections
Junha Roh, Christoforos Mavrogiannis, Rishabh Madan, Dieter Fox, and Siddhartha Srinivasa · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
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Implicit latent variable model for scene-consistent motion forecasting
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, and Raquel Urtasun · 2020
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Human-like decision making for autonomous driving: A noncooperative game theoretic approach
Peng Hang, Chen Lv, Yang Xing, Chao Huang, and Zhongxu Hu · 2020
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MP3: A unified model to map, perceive, predict and plan
Sergio Casas, Abbas Sadat, and Raquel Urtasun · 2021
Earlier work this paper cites.
AgentFormer: Agent-aware transformers for socio-temporal multi-agent forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou, and Kris M Kitani · 2021
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LookOut: Diverse multi-future prediction and planning for self-driving
Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, and Raquel Urtasun · 2021
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FIERY: Future instance prediction in bird’s-eye view from surround monocular cameras
Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, and Alex Kendall · 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, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov · 2021
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DenseTNT: End-to-end trajectory prediction from dense goal sets
Junru Gu, Chen Sun, and Hang Zhao · 2021
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Urban Driver: Learning to drive from real-world demonstrations using policy gradients
Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Błażej Osiński, and Peter Ondruska · 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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Waymo open dataset interaction prediction challenge 2021
Waymo · 2021
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Milestones in autonomous driving and intelligent vehicles: Survey of surveys
Long Chen, Yuchen Li, Chao Huang, Bai Li, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Xiaoxiang Na, Zixuan Li, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, and Fei-Yue Wang · 2022
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Social interactions for autonomous driving: A review and perspectives
Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, and Lijun Sun · 2022
Earlier work this paper cites.
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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Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, and Yu Qiao · 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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StopNet: Scalable trajectory and occupancy prediction for urban autonomous driving
Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, and Dragomir Anguelov · 2022
Cited alongside, same era.
Motion transformer with global intention localization and local movement refinement
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2022
Cited alongside, same era.
Towards capturing the temporal dynamics for trajectory prediction: a coarse-to-fine approach
Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, and Yu Qiao · 2022
Cited alongside, same era.
HDGT: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding
Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, and Junchi Yan · 2023
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Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving
Zhiyu Huang, Haochen Liu, Jingda Wu, and Chen Lv · 2023
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Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, and Alexandru Condurache · 2023
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Leveraging future relationship reasoning for vehicle trajectory prediction
Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, and Kuk-Jin Yoon · 2023
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Abstracting road traffic via topological braids: Applications to traffic flow analysis and distributed control
Christoforos Mavrogiannis, Jonathan A DeCastro, and Siddhartha S Srinivasa · 2023
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Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J Weiss, Benjamin Sapp, Zhifeng Chen, and Jonathon Shlens · 2022
Cited alongside, same era.
M2I: From factored marginal trajectory prediction to interactive prediction
Qiao Sun, Xin Huang, Junru Gu, Brian C Williams, and Hang Zhao · 2022
Cited alongside, same era.
Deep interactive motion prediction and planning: Playing games with motion prediction models
Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, and Luc Van Gool · 2022
Cited alongside, same era.
Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network
Xiaoyu Mo, Zhiyu Huang, Yang Xing, and Chen Lv · 2022
Cited alongside, same era.
Multi-modal motion prediction with transformer-based neural network for autonomous driving
Zhiyu Huang, Xiaoyu Mo, and Chen Lv · 2022
Cited alongside, same era.
Analyzing multiagent interactions in traffic scenes via topological braids
Christoforos Mavrogiannis, Jonathan DeCastro, and Siddhartha S Srinivasa · 2022
Cited alongside, same era.
BEVFormer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
Cited alongside, same era.
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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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GoRela: Go relative for viewpoint-invariant motion forecasting
Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, and Raquel Urtasun · 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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Parting with misconceptions about learning-based vehicle motion planning
Daniel Dauner, Marcel Hallgarten, Andreas Geiger, and Kashyap Chitta · 2023
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MARC: Multipolicy and risk-aware contingency planning for autonomous driving
Tong Li, Lu Zhang, Sikang Liu, and Shaojie Shen · 2023
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From prediction to planning with goal conditioned lane graph traversals
Marcel Hallgarten, Martin Stoll, and Andreas Zell · 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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End-to-end autonomous driving: Challenges and frontiers
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, and Hongyang Li · 2024
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Hybrid-prediction integrated planning for autonomous driving
Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, and Chen Lv · 2024
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Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe
Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, and Yu Qiao · 2024
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MTR++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2024
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Learning online belief prediction for efficient pomdp planning in autonomous driving
Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, and Wei Zhan · 2024
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DTPP: Differentiable joint conditional prediction and cost evaluation for tree policy planning in autonomous driving
Zhiyu Huang, Peter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, and Chen Lv · 2024
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AMP: Autoregressive motion prediction revisited with next token prediction for autonomous driving
Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, and Junchi Yan · 2024
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Towards learning-based planning: The nuplan benchmark for real-world autonomous driving
Napat Karnchanachari, Dimitris Geromichalos, Kok Seang Tan, Nanxiang Li, Christopher Eriksen, Shakiba Yaghoubi, Noushin Mehdipour, Gianmarco Bernasconi, Whye Kit Fong, Yiluan Guo, and Holger Caesar · 2024
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Visual point cloud forecasting enables scalable autonomous driving
Zetong Yang, Li Chen, Yanan Sun, and Hongyang Li · 2024
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EDA: Evolving and distinct anchors for multimodal motion prediction
Longzhong Lin, Xuewu Lin, Tianwei Lin, Lichao Huang, Rong Xiong, and Yue Wang · 2024
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Rethinking imitation-based planner for autonomous driving
Jie Cheng, Yingbing Chen, Xiaodong Mei, Bowen Yang, Bo Li, and Ming Liu · 2024
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Waymo open dataset motion prediction challenge 2024
Waymo · 2024
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MGTR: Multi-granular transformer for motion prediction with lidar
Yiqian Gan, Hao Xiao, Yizhe Zhao, Ethan Zhang, Zhe Huang, Xin Ye, and Lingting Ge · 2024
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Jiawei Sun, Chengran Yuan, Shuo Sun, Shanze Wang, Yuhang Han, Shuailei Ma, Zefan Huang, Anthony Wong, Keng Peng Tee, and Marcelo H Ang Jr · 2024
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Is ego status all you need for open-loop end-to-end autonomous driving?
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, and Jose M Alvarez · 2024
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PLUTO: Pushing the limit of imitation learning-based planning for autonomous driving
Jie Cheng, Yingbing Chen, and Qifeng Chen · 2024
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NAVSIM: Data-driven non-reactive autonomous vehicle simulation
NAVSIM Contributors · 2024
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NAVSIM: Data-driven non-reactive autonomous vehicle simulation and benchmarking
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UniTraj: A unified framework for scalable vehicle trajectory prediction
Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, and Alexandre Alahi · 2024
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