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We introduce Argoverse 2 (AV2) - a collection of three datasets for perception and forecasting research in the self-driving domain.
Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Kaist multi-spectral day/night data set for autonomous and assisted driving
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Argoverse: 3D Tracking and Forecasting With Rich Maps
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Lyft level 5 av dataset
R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
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PointPillars: Fast encoders for object detection from point clouds
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Social attention for autonomous decision-making in dense traffic
Edouard Leurent and Jean Mercat · 2019
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Multi-head attention for multi-modal joint vehicle motion forecasting, 2019
Jean Mercat, Thomas Gilles, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, and Guillermo Pita Gil · 2019
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The H3D dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes
Abhishek Patil, Srikanth Malla, Haiming Gang, and Yi-Ting Chen · 2019
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A*3d dataset: Towards autonomous driving in challenging environments
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, and Jie Lin · 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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Range conditioned dilated convolutions for scale invariant 3d object detection
Alex Bewley, Pei Sun, Thomas Mensink, Drago Anguelov, and Cristian Sminchisescu · 2020
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Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 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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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Cityscapes 3d: Dataset and benchmark for 9 dof vehicle detection
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VectorNet: Encoding hd maps and agent dynamics from vectorized representation
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Afdet: Anchor free one stage 3d object detection
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Yu Wang, Sijia Chen, Li Huang, and Yuan Li · 2020
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A2D2: audi autonomous driving dataset
Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian Mühlegg, Sebastian Dorn, Tiffany Fernandez, Martin Jänicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, Oleksandr Vorobiov, Martin Oelker, Sebastian Garreis, and Peter Schuberth · 2020
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Streaming object detection for 3-d point clouds
Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, and Zhifeng Chen · 2020
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One Thousand and One Hours: Self-driving Motion Prediction Dataset
Home: Heatmap output for future motion estimation
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2021
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Safe local motion planning with self-supervised freespace forecasting
Peiyun Hu, Aaron Huang, John Dolan, David Held, and Deva Ramanan · 2021
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Trust, but Verify: Cross-modality fusion for hd map change detection
John W. Lambert and James Hays · 2021
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Hdmapnet: An online HD map construction and evaluation framework
Qi Li, Yue Wang, Yilun Wang, and Hang Zhao · 2021
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Shifts: A dataset of real distributional shift across multiple large-scale tasks
Andrey Malinin, Neil Band, Alexander Ganshin, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Mariya Shmatova, Panos Tigas, and Boris Yangel · 2021
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John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, and Peter Ondruska · 2020
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What-if motion prediction for autonomous driving
Siddhesh Khandelwal, William Qi, Jagjeet Singh, Andrew Hartnett, and Deva Ramanan · 2020
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Towards streaming perception
Mengtian Li, Yu-Xiong Wang, and Deva Ramanan · 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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LiDARsim: Realistic lidar simulation by leveraging the real world
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, and Raquel Urtasun · 2020
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Multi-head attention for multi-modal joint vehicle motion forecasting
Jean Mercat, Thomas Gilles, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, and Guillermo Pita Gil · 2020
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Canadian adverse driving conditions dataset
Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, and Steven Waslander · 2020
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
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One Million Scenes for Autonomous Driving: ONCE Dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, and Chunjing Xu · 2021
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Offboard 3d object detection from point cloud sequences
Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, and Dragomir Anguelov · 2021
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Argoverse motion forecasting competition
Jagjeet Singh, William Qi, Tanmay Agarwal, and Andrew Hartnett · 2021
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Rsn: Range sparse net for efficient, accurate lidar 3d object detection
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, and Dragomir Anguelov · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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Lane graph estimation for scene understanding in urban driving
Jannik Zürn, Johan Vertens, and Wolfram Burgard · 2021
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Gorela: Go relative for viewpoint-invariant motion forecasting
Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, and Raquel Urtasun · 2022
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Technical report for cvpr 2022 workshop on autonomous driving argoverse 3d object detection competition, 2022
Jin Fang, Qinghao Meng, Dingfu Zhou, Chulin Tang, Jianbing Shen, Cheng-Zhong Xu, and Liangjun Zhang · 2022
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Thomas: Trajectory heatmap output with learned multi-agent sampling
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2022
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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 Rus, and Song Han · 2022
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Qml for argoverse 2 motion forecasting challenge, 2022
Tong Su, Xishun Wang, and Xiaodong Yang · 2022
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Ganet: Goal area network for motion forecasting, 2022
Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, and Wenjing Yang · 2022
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Banet: Motion forecasting with boundary aware network, 2022
Chen Zhang, Honglin Sun, Chen Chen, and Yandong Guo · 2022
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