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Extracting interesting scenarios from real-world data as well as generating failure cases is important for the development and testing of autonomous systems.
Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
Earlier work this paper cites.
http://ops.fhwa.dot.gov/trafficanalysistools/ngsim.htm , 2006
U.S. Federal Highway Administration. Next Generation Simulation (NGSIM) · 2006
Earlier work this paper cites.
Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?
Nidhi Kalra and Susan M Paddock · 2016
Earlier work this paper cites.
Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques
Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J LeBlanc, Kazutoshi Nobukawa, and Christopher S Pan · 2016
Earlier work this paper cites.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
https://developer.nvidia.com/drive/drive-constellation , 2018
NVIDIA DRIVE Sim · 2018
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Scalable end-to-end autonomous vehicle testing via rare-event simulation
Matthew O’Kelly, Aman Sinha, Hongseok Namkoong, Russ Tedrake, and John C Duchi · 2018
Cited alongside, same era.
Avfi: Fault injection for autonomous vehicles
Saurabh Jha, Subho S Banerjee, James Cyriac, Zbigniew T Kalbarczyk, and Ravishankar K Iyer · 2018
Cited alongside, same era.
Using control synthesis to generate corner cases: A case study on autonomous driving
Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J Rutledge, Petter Nilsson, and Necmiye Ozay · 2018
Cited alongside, same era.
https://www.lgsvlsimulator.com , 2019
LGSVL Simulator — An Autonomous Vehicle Simulator · 2019
Cited alongside, same era.
Adaptive stress testing with reward augmentation for autonomous vehicle validatio
Anthony Corso, Peter Du, Katherine Driggs-Campbell, and Mykel J Kochenderfer · 2019
Cited alongside, same era.
Generating adversarial driving scenarios in high-fidelity simulators
Model-predictive policy learning with uncertainty regularization for driving in dense traffic
Mikael Henaff, Alfredo Canziani, and Yann LeCun · 2019
Later among the works it cites.
Compositional falsification of cyber-physical systems with machine learning components
Tommaso Dreossi, Alexandre Donzé, and Sanjit A Seshia · 2019
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Verifai: A toolkit for the formal design and analysis of artificial intelligence-based systems
Tommaso Dreossi, Daniel J Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, and Sanjit A Seshia · 2019
Later among the works it cites.
Scenic: a language for scenario specification and scene generation
Daniel J Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L Sangiovanni-Vincentelli, and Sanjit A Seshia · 2019
Later among the works it cites.
https://www.nhtsa.gov/automated-vehicles-safety/av-test-initiative-tracking-tool , 2020
NHTSA AV TEST Initiative · 2020
Later among the works it cites.
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Yasasa Abeysirigoonawardena, Florian Shkurti, and Gregory Dudek · 2019
Cited alongside, same era.