Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

31 October 2018

Papers citing "Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation"

42 / 42 papers shown

Title
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Albert Zhao Stefano Soatto DiffM 17 0 0 18 May 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events Aditya Chinchure Sahithya Ravi R. Ng Vered Shwartz Boyang Albert Li Leonid Sigal ReLM LRM VLM 82 2 0 07 Dec 2024
Realistic Extreme Behavior Generation for Improved AV Testing Robert Dyro Matthew Foutter Ruolin Li L. D. Lillo Edward Schmerling Xilin Zhou Marco Pavone AAML 36 1 0 16 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy V. Deshmukh 75 14 0 31 Aug 2024
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems Harrison Delecki Marc R. Schlichting Mansur Arief Anthony Corso Marcell Vazquez-Chanlatte Mykel J. Kochenderfer DiffM 42 0 0 20 Jun 2024
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation Chen Yang Aaron Xuxiang Tian Dong Chen Tianyu Shi Arsalan Heydarian Tianyu Shi Arsalan Heydarian Pei Liu 56 8 0 02 Apr 2024
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning Jingxuan Yang Ruoxuan Bai Haoyuan Ji Yi Zhang Jianming Hu Shuo Feng 37 3 0 29 Feb 2024
Uncertainty-aware Risk Assessment of Robotic Systems via Importance Sampling W.-J. Baek Tom P. Huck Joschka Haas Jonas Lewandrowski Tamim Asfour Torsten Kröger 16 1 0 27 Aug 2023
Adaptive Failure Search Using Critical States from Domain Experts Peter Du Katherine Driggs-Campbell 13 10 0 01 Apr 2023
(Re) $^2$ H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Kun Ren Yi Tian Xu Ziyuan Yang Yi-Hsin Lin Yan Zhang Jianming Hu OffRL 21 9 0 27 Feb 2023
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations Osama Maqbool J. Roßmann AI4CE 28 0 0 03 Jan 2023
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 45 58 0 18 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning Haruki Nishimura Jean-Pierre Mercat Blake Wulfe R. McAllister Adrien Gaidon OOD 49 18 0 04 Oct 2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty Mohamad H. Danesh Panpan Cai David Hsu 19 7 0 23 Sep 2022
Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator Zhijie Qiao Xiatao Sun Helen Loeb Rahul Mangharam 11 3 0 05 Aug 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann Katrin Renz Kashyap Chitta Apratim Bhattacharyya Andreas Geiger 29 87 0 28 Apr 2022
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving Qichao Zhang Yinfeng Gao Yikang Zhang Youtian Guo Dawei Ding Yunpeng Wang Peng Sun Dongbin Zhao 30 34 0 31 Mar 2022
Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications Guy Scher Sadra Sadraddini Russ Tedrake H. Kress-Gazit 18 6 0 28 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 32 146 0 04 Feb 2022
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 43 60 0 02 Dec 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review Xinhai Zhang Jianbo Tao Kaige Tan Martin Törngren José Manuel Gaspar Sánchez ... Magnus Gyllenhammar F. Wotawa N. Mohan Mihai Nica Hermann Felbinger 35 39 0 16 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 32 34 0 09 Oct 2021
Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios Max Winkelmann Mike Kohlhoff H. Tadjine Steffen Müller 29 9 0 06 Oct 2021
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems Ziyuan Zhong Zhisheng Hu Shengjian Guo Xinyang Zhang Zhenyu Zhong Baishakhi Ray AAML 28 24 0 14 Sep 2021
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education Robin Henry D. Ernst 22 11 0 18 May 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 24 34 0 14 Mar 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles Zahra Ghodsi S. Hari I. Frosio Timothy Tsai Alejandro J. Troccoli S. Keckler S. Garg Anima Anandkumar 35 41 0 12 Mar 2021
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers Anand Deo Karthyek Murthy 25 10 0 14 Feb 2021
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 100 0 16 Sep 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 39 48 0 24 Aug 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 34 65 0 01 Jul 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems Anthony Corso Robert J. Moss Mark Koren Ritchie Lee Mykel J. Kochenderfer 19 172 0 06 May 2020
Interpretable Safety Validation for Autonomous Vehicles Anthony Corso Mykel J. Kochenderfer 30 23 0 14 Apr 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles Songan Zhang H. Peng S. Nageshrao E. Tseng AAML 27 5 0 18 Mar 2020
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 739 0 19 Jun 2019
A behavior driven approach for sampling rare event situations for autonomous vehicles Atrisha Sarkar Krzysztof Czarnecki 14 16 0 04 Mar 2019
F1/10: An Open-Source Autonomous Cyber-Physical Platform Matthew O'Kelly Varundev Sukhil Houssam Abbas J. Harkins Chris Kao ... Rahul Mangharam Dipshil Agarwal Madhur Behl P. Burgio Marko Bertogna 16 104 0 24 Jan 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning Ritchie Lee Ole J. Mengshoel Nannan Li Shan Liu Daniel Genin Thomas H. Li Michael Owen Ge Li 9 10 0 06 Nov 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015