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With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fostering the robust evolution of the industry ecosystem.
Real time detection of lane markers in urban streets
Mohamed Aly · 2008
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Openstreetmap: User-generated street maps
Mordechai Haklay and Patrick Weber · 2008
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Autonomous robot navigation based on openstreetmap geodata
Matthias Hentschel and Bernardo Wagner · 2010
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Real-time routing with OpenStreetMap data
Dennis Luxen and Christian Vetter · 2011
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Datatang
Datatang · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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A new performance measure and evaluation benchmark for road detection algorithms
Jannik Fritsch, Tobias Kuehnl, and Andreas Geiger · 2013
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Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips
Nivan Ferreira, Jorge Poco, Huy T Vo, Juliana Freire, and Cláudio T Silva · 2013
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NEO benchmark datasets
NEO Research Group · 2013
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DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration
Xuesong Zhou and Jeffrey Taylor · 2014
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New York City Taxi Data (2010-2013)
Brian Donovan and DB Work · 2014
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Object scene flow for autonomous vehicles
Moritz Menze and Andreas Geiger · 2015
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Chicago Divvy bicycle sharing data
Divvy Bike · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Lost and found: detecting small road hazards for self-driving vehicles
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, and Rudolf Mester · 2016
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Real-time path planning to prevent traffic jam through an intelligent transportation system
Allan M De Souza, Roberto S Yokoyama, Guilherme Maia, Antonio Loureiro, and Leandro Villas · 2016
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A benchmark and simulator for UAV tracking
Matthias Mueller, Neil Smith, and Bernard Ghanem · 2016
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Next Generation Artificial Intelligence Development Plan, 2017
The State Council of the People’s Republic of China · 2017
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
The mapillary vistas dataset for semantic understanding of street scenes
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulo, and Peter Kontschieder · 2017
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DDD17: End-to-end davis driving dataset
Jonathan Binas, Daniel Neil, Shih-Chii Liu, and Tobi Delbruck · 2017
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Vpgnet: Vanishing point guided network for lane and road marking detection and recognition
Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, and In So Kweon · 2017
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https://github.com/TuSimple/tusimple-benchmark , 2017
TuSimple · 2017
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Caltrans Performance Measurement System (PeMS)
Caltrans: California Department of Transportation · 2017
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Real-time traffic state estimation with connected vehicles
Sakib Mahmud Khan, Kakan C Dey, and Mashrur Chowdhury · 2017
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Robotic grasp detection using deep convolutional neural networks
Sulabh Kumra and Christopher Kanan · 2017
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Visual object tagging tool: An electron app for building end to end object detection models from images and videos
Microsoft · 2017
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Textual explanations for self-driving vehicles
Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, and Zeynep Akata · 2018
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Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, and Kate Saenko · 2018
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WildDash - creating hazard-aware benchmarks
Oliver Zendel, Katrin Honauer, Markus Murschitz, Daniel Steininger, and Gustavo Fernandez Dominguez · 2018
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Spatial as deep: Spatial cnn for traffic scene understanding
Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
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The ApolloScape dataset for autonomous driving
Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, and Ruigang Yang · 2018
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AgBM-DTALite: An integrated modelling system of agent-based travel behaviour and transportation network dynamics
Chenfeng Xiong, Xuesong Zhou, and Lei Zhang · 2018
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An online ride-sharing path-planning strategy for public vehicle systems
Ming Zhu, Xiao-Yang Liu, and Xiaodong Wang · 2018
Earlier work this paper cites.
Roboturk: A crowdsourcing platform for robotic skill learning through imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, et al · 2018
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How maglev speeds autonomous vehicles to superhuman levels of safety
Nividia · 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
Earlier work this paper cites.
The apolloscape open dataset for autonomous driving and its application
Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, and Ruigang Yang · 2019
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IDD: A dataset for exploring problems of autonomous navigation in unconstrained environments
Girish Varma, Anbumani Subramanian, Anoop Namboodiri, Manmohan Chandraker, and CV Jawahar · 2019
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SemanticKITTI: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Yogamani, Pascal Vasseur, and Paul Honeine · 2019
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DrivingStereo: A large-scale dataset for stereo matching in autonomous driving scenarios
Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, and Bolei Zhou · 2019
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Talk2Car: Taking control of your self-driving car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, and Marie-Francine Moens · 2019
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PIE: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction
Amir Rasouli, Iuliia Kotseruba, Toni Kunic, and John K. Tsotsos · 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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What’s there in the dark
Sauradip Nag, Saptakatha Adak, and Sukhendu Das · 2019
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Unsupervised Labeled Lane Markers Using Maps
Karsten Behrendt and Ryan Soussan · 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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AADS: Augmented autonomous driving simulation using data-driven algorithms
Wei Li, CW Pan, Rong Zhang, JP Ren, YX Ma, Jin Fang, FL Yan, QC Geng, XY Huang, HJ Gong, et al · 2019
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Open-source public transportation mobility simulation engine dtalite-s: A discretized space–time network-based modeling framework for bridging multi-agent simulation and optimization
Lu Tong, Yuyan Pan, Pan Shang, Jifu Guo, Kai Xian, and Xuesong Zhou · 2019
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Robonet: Large-scale multi-robot learning
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, and Chelsea Finn · 2019
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The MaSTr1325 dataset for training deep USV obstacle detection models
Borja Bovcon, Jon Muhovič, Janez Perš, and Matej Kristan · 2019
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Scaling and benchmarking self-supervised visual representation learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, and Ishan Misra · 2019
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White Paper on Artificial Intelligence: a European approach to excellence and trust, 2020
European Commission · 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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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, et al · 2020
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Brno Urban Dataset – the new data for self-driving agents and mapping tasks
Adam Ligocki, Ales Jelinek, and Ludek Zalud · 2020
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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 · 2020
Cited alongside, same era.
UrbanLoco: A full sensor suite dataset for mapping and localization in urban scenes
Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, and Li-Ta Hsu · 2020
Cited alongside, same era.
TITAN: Future forecast using action priors
Srikanth Malla, Behzad Dariush, and Chiho Choi · 2020
Cited alongside, same era.
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, et al · 2020
Cited alongside, same era.
DAWN: Vehicle detection in adverse weather nature dataset
Mourad A Kenk and Mahmoud Hassaballah · 2020
Level 2 autonomous driving on a single device: Diving into the devils of openpilot
Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, and Yu Qiao · 2022
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NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN 2023 UPDATE, 2023
National Science and Technology Council of USA · 2023
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Autonomous Driving Challenge
OpenDriveLab · 2023
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Waymo Open Dataset Challenges
Waymo · 2023
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CARLA Autonomous Driving Challenge
CARLA · 2023
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International Algorithm Case Competition
Pazhou Lab · 2023
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4Seasons: A cross-season dataset for multi-weather slam in autonomous driving
Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, and Daniel Cremers · 2020
Cited alongside, same era.
Semanticposs: A point cloud dataset with large quantity of dynamic instances
Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, and Huijing Zhao · 2020
Cited alongside, same era.
Toronto-3D: A large-scale mobile lidar dataset for semantic segmentation of urban roadways
Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, and Jonathan Li · 2020
Cited alongside, same era.
Gen-lanenet: A generalized and scalable approach for 3d lane detection
Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, and Tae Eun Choe · 2020
Cited alongside, same era.
Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending
Hang Xu, Shaoju Wang, Xinyue Cai, Liang Xiaodan, and Li Zhenguo · 2020
Cited alongside, same era.
Modeling perception errors towards robust decision making in autonomous vehicles
Andrea Piazzoni, Jim Cherian, Martin Slavik, and Justin Dauwels · 2020
Cited alongside, same era.
The blackbird UAV dataset
Amado Antonini, Winter Guerra, Varun Murali, Thomas Sayre-McCord, and Sertac Karaman · 2020
Cited alongside, same era.
METEOR: A dense, heterogeneous, and unstructured traffic dataset with rare behaviors
Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, and Dinesh Manocha · 2023
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LiDAR-CS Dataset: Lidar point cloud dataset with cross-sensors for 3d object detection
Jin Fang, Dingfu Zhou, Jingjing Zhao, Chulin Tang, Cheng-Zhong Xu, and Liangjun Zhang · 2023
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Scene as occupancy
Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, et al · 2023
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Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving, 2023
Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindstrom, Daria Motorniuk, Junsheng Fu, Jenny Widahl, and Christoffer Petersson · 2023
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DriveLM: Driving with graph visual question answering
Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, and Hongyang Li · 2023
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Sparse dense fusion for 3d object detection
Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, and Hongyang Li · 2023
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Leveraging vision-centric multi-modal expertise for 3d object detection
Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, and Hongyang Li · 2023
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Geometric-aware pretraining for vision-centric 3d object detection
Linyan Huang, Huijie Wang, Jia Zeng, Shengchuan Zhang, Liujuan Cao, Rongrong Ji, Junchi Yan, and Hongyang Li · 2023
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Density-invariant features for distant point cloud registration
Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, and Minyi Guo · 2023
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3D Data Augmentation for Driving Scenes on Camera
Wenwen Tong, Jiangwei Xie, Tianyu Li, Hanming Deng, Xiangwei Geng, Ruoyi Zhou, Dingchen Yang, Bo Dai, Lewei Lu, and Hongyang Li · 2023
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Distilling focal knowledge from imperfect expert for 3d object detection
Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, and Hongyang Li · 2023
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OpenLane-V2: A topology reasoning benchmark for unified 3d hd mapping
Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, et al · 2023
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Translating images to road network: A non-autoregressive sequence-to-sequence approach
Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, and Li Zhang · 2023
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QCNeXt: A next-generation framework for joint multi-agent trajectory prediction
Zikang Zhou, Zihao Wen, Jianping Wang, Yung-Hui Li, and Yu-Kai Huang · 2023
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MacFormer: Map-agent coupled transformer for real-time and robust trajectory prediction
Chen Feng, Hangning Zhou, Huadong Lin, Zhigang Zhang, Ziyao Xu, Chi Zhang, Boyu Zhou, and Shaojie Shen · 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 Krzysz Czarnecki · 2023
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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 · 2023
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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 · 2023
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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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Improving multi-agent trajectory prediction using traffic states on interactive driving scenarios
Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, C Krishna Mohan, and Ch Sobhan Babu · 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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DriveIRL: Drive in real life with inverse reinforcement learning
Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil S Tomov, Robert E Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suarez-Ruiz, et al · 2023
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An imitation learning method with data augmentation and post processing for planning in autonomous driving
Weitao Xi, Liangchao Shi, and Guangzhi Cao · 2023
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Reasonnet: End-to-end driving with temporal and global reasoning
Hao Shao, Letian Wang, Ruobing Chen, and Steven L. a Waslander · 2023
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Efficient reinforcement learning for autonomous driving with parameterized skills and priors
Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, and Steven L Waslander · 2023
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Autonomous driving based on approximate safe action
Xuesong Wang, Jiazhi Zhang, Diyuan Hou, and Yuhu Cheng · 2023
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How to guide your learner: Imitation learning with active adaptive expert involvement
Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, and Yang Yu · 2023
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An application of stereo matching algorithm based on transfer learning on robots in multiple scenarios
Yuanwei Bi, Chuanbiao Li, and Guohui Wang · 2023
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Transportation networks for research
Transportation Networks for Research Core Team · 2023
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Transportation origin-destination demand estimation with quasi-sparsity
Jingxing Wang, Shu Lu, Hongsheng Liu, and Xuegang Ban · 2023
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Incremental path planning: Reservation system in v2x environment
Daocheng Fu, Pinlong Cai, Yilun Lin, Song Mao, Licheng Wen, and Yikang Li · 2023
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Evaluating contraflow high-occupancy vehicle lane designs for mitigating high-occupancy vehicle lane performance degradation
Zhensong Wei, Peng Hao, Matthew Barth, and Kanok Boriboonsomsin · 2023
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PaLI-X: On scaling up a multilingual vision and language model
Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, et al · 2023
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PaLM-E: An embodied multimodal language model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, et al · 2023
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3d harmonic loss: Towards task-consistent and time-friendly 3d object detection on edge for v2x orchestration
Haolin Zhang, Mahammad Shareef Mekala, Dongfang Yang, John Isaacs, Zulkar Nain, Ju H Park, and Ho-Youl Jung · 2023
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Interruption-aware cooperative perception for v2x communication-aided autonomous driving
Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, and Wenjun Zhang · 2023
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Learning spatial regularization correlation filters with the hilbert-schmidt independence criterion in rkhs for uav tracking
Zhiyong An, Xiumin Wang, Bo Li, and Jingyi Fu · 2023
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HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO
Giovanni Cioffi, Leonard Bauersfeld, and Davide Scaramuzza · 2023
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Towards smaller and stronger: An edge-aware lightweight segmentation approach for unmanned surface vehicles in water scenarios
Wei Han, Binyu Zhao, and Jun Luo · 2023
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Improved PSPNet-based water shoreline detection in complex inland river scenarios
Yuheng Yin, Yangang Guo, Liwei Deng, and Chai Borong · 2023
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GPT-4 Technical Report
OpenAI · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Scaling vision transformers to 22 billion parameters
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, et al · 2023
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Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
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Towards expert-level medical question answering with large language models
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, et al · 2023
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Building foundation models for autonomy
Tesla · 2023
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DriveAGI: Embracing foundation models into autonomous agent and system
OpenDriveLab · 2023
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The effectiveness of mae pre-pretraining for billion-scale pretraining
Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross Girshick, et al · 2023
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A review of driving style recognition methods from short-term and long-term perspectives
Hongqing Chu, Hejian Zhuang, Wenshuo Wang, Xiaoxiang Na, Lulu Guo, Jia Zhang, Bingzhao Gao, and Hong Chen · 2023
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Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving
Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, and Hongyang Li · 2023
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A survey of large language models for autonomous driving
Zhenjie Yang, Xiaosong Jia, Hongyang Li, and Junchi Yan · 2023
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