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1902.01909
Cited By
Adaptive Stress Testing for Autonomous Vehicles
5 February 2019
Mark Koren
Saud Alsaif
Ritchie Lee
Mykel J. Kochenderfer
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Papers citing
"Adaptive Stress Testing for Autonomous Vehicles"
50 / 88 papers shown
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Injecting Hallucinations in Autonomous Vehicles: A Component-Agnostic Safety Evaluation Framework
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Gabriel Kenji Godoy Shimanuki
Lucio Flavio Vismari
João Batista Camargo Jr
Jorge Rady de Almeida Jr
Paulo Sergio Cugnasca
Anna Carolina Muller Queiroz
Jeremy Noah Bailenson
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Diffusion Models for Safety Validation of Autonomous Driving Systems
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Marc R. Schlichting
Harrison Delecki
Mykel J. Kochenderfer
170
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Leveraging Reward Models for Guiding Code Review Comment Generation
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Houari Sahraoui
221
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04 Jun 2025
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
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Xinyuan Cao
Xiangbo Gao
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Tianbao Yang
Dominique Lord
Zhengzhong Tu
Yang Zhou
393
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0
27 May 2025
On-Demand Scenario Generation for Testing Automated Driving Systems
Songyang Yan
Xiaodong Zhang
Kunkun Hao
Haojie Xin
Yonggang Luo
Jucheng Yang
Ming Fan
Chao Yang
Jun Sun
Zijiang Yang
242
5
0
20 May 2025
Rethink Repeatable Measures of Robot Performance with Statistical Query
Bowen Weng
L. Capito
Guillermo A. Castillo
Dylan Khor
495
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13 May 2025
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
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Xintao Yan
Yao Mu
Haowei Sun
Zhong Cao
Henry X. Liu
985
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0
06 May 2025
Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking
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Bowen Weng
380
1
0
21 Apr 2025
Controllable Latent Diffusion for Traffic Simulation
Yizhuo Xiao
Mustafa Suphi Erden
Cheng Wang
429
2
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14 Mar 2025
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions
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Xing Gao
Guanjie Zheng
Licheng Wen
Xuemeng Yang
Xingwu Sun
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403
2
0
07 Mar 2025
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles
Jiahui Wu
Chengjie Lu
Aitor Arrieta
Shaukat Ali
195
3
0
18 Feb 2025
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals
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Sydney M. Katz
Mykel J. Kochenderfer
276
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0
03 Dec 2024
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
Xinzheng Wu
Junyi Chen
Xingyu Xing
Jian Sun
Ye Tian
Lihao Liu
Yong Shen
409
2
0
30 Nov 2024
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
Conference on Robot Learning (CoRL), 2024
Aman Sinha
Payam Nikdel
Supratik Paul
Shimon Whiteson
307
1
0
26 Nov 2024
Foundation Models for Rapid Autonomy Validation
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Alec Farid
Peter Schleede
Aaron Huang
Christoffer Heckman
502
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0
22 Oct 2024
Learning to Drive via Asymmetric Self-Play
European Conference on Computer Vision (ECCV), 2024
Chris Zhang
Sourav Biswas
Kelvin Wong
Kion Fallah
Lunjun Zhang
Dian Chen
Sergio Casas
R. Urtasun
208
8
0
26 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing
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Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
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355
3
0
16 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
IEEE Robotics and Automation Letters (RA-L), 2024
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
490
10
0
16 Sep 2024
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
Fan Shi
Chong Zhang
Takahiro Miki
Joonho Lee
Marco Hutter
Stelian Coros
AAML
403
31
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21 May 2024
Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
L. Giamattei
Matteo Biagiola
R. Pietrantuono
S. Russo
Paolo Tonella
250
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0
20 Mar 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
266
8
0
29 Feb 2024
A novel framework for adaptive stress testing of autonomous vehicles in highways
Linh Trinh
Q. Luu
Thai M. Nguyen
Hai L. Vu
323
0
0
19 Feb 2024
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation
SAE technical paper series (SAE), 2023
Krzysztof Czarnecki
Hiroshi Kuwajima
364
2
0
15 Dec 2023
Attacking Motion Planners Using Adversarial Perception Errors
Jonathan Sadeghi
Nicholas A. Lord
John Redford
Romain Mueller
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399
2
0
21 Nov 2023
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Conference on Robot Learning (CoRL), 2023
Yasasa Abeysirigoonawardena
Kevin Xie
Chuhan Chen
Salar Hosseini
Ruiting Chen
Ruiqi Wang
Florian Shkurti
431
4
0
27 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
IEEE International Conference on Robotics and Automation (ICRA), 2023
Haoyi Niu
Yi Tian Xu
Xingjian Jiang
Jianming Hu
432
4
0
25 Sep 2023
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning
Marc R. Schlichting
Nina V. Board
Anthony Corso
Mykel J. Kochenderfer
214
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0
21 Sep 2023
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles
Yuhang Yang
Kalle Kujanpää
Amin Babadi
Joni Pajarinen
Alexander Ilin
296
4
0
01 Sep 2023
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events
IEEE Open Journal of Intelligent Transportation Systems (JOITS), 2023
Aizaz Sharif
D. Marijan
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212
3
0
28 Aug 2023
Model-based Validation as Probabilistic Inference
Conference on Learning for Dynamics & Control (L4DC), 2023
Harrison Delecki
Anthony Corso
Mykel J. Kochenderfer
162
8
0
17 May 2023
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
barbara Schutt
Joshua Ransiek
Thilo Braun
Eric Sax
203
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21 Apr 2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
Peter Du
S. Murthy
Katherine Driggs-Campbell
312
3
0
01 Apr 2023
Adaptive Failure Search Using Critical States from Domain Experts
IEEE International Conference on Robotics and Automation (ICRA), 2021
Peter Du
Katherine Driggs-Campbell
315
11
0
01 Apr 2023
(Re)
2
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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
261
10
0
27 Feb 2023
Curiosity creates Diversity in Policy Search
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Paul-Antoine Le Tolguenec
Emmanuel Rachelson
Yann Besse
Dennis G. Wilson
315
2
0
07 Dec 2022
A Deep Reinforcement Learning Approach to Rare Event Estimation
Anthony Corso
Kyu-Young Kim
Shubh Gupta
Grace Gao
Mykel J. Kochenderfer
220
1
0
22 Nov 2022
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
IEEE International Conference on Robotics and Automation (ICRA), 2022
Resul Dagdanov
Halil Durmus
N. K. Üre
341
6
0
29 Oct 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
International Conference on Software Engineering (ICSE), 2022
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
OffRL
323
51
0
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An Active Learning Reliability Method for Systems with Partially Defined Performance Functions
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Romain Mueller
John Redford
219
2
0
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ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving
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Shuting Kang
Heng Guo
Lijun Zhang
Guangzhen Liu
Yunzhi Xue
Yanjun Wu
247
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0
21 Sep 2022
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness
IEEE Transactions on robotics (TRO), 2022
Bowen Weng
Guillermo A. Castillo
Wei Zhang
Ayonga Hereid
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177
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0
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Critical concrete scenario generation using scenario-based falsification
D. Karunakaran
J. S. Berrio
Stewart Worrall
E. Nebot
235
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"Curse of rarity" for autonomous vehicles
Nature Communications (Nat Commun), 2022
Henry X. Liu
Shuo Feng
269
78
0
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A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System
Yi Xie
Kunpeng Dai
Yong Zhang
115
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Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling
Mansur Arief
Zhepeng Cen
Zhen-Yan Liu
Zhiyuan Huang
Henry Lam
Yue Liu
Ding Zhao
UQCV
345
2
0
04 Apr 2022
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Harrison Delecki
Masha Itkina
Bernard Lange
Ransalu Senanayake
Mykel J. Kochenderfer
362
26
0
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Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
Erwin de Gelder
Jasper P Hof
Eric Cator
J. Paardekooper
Olaf Op den Camp
J. Ploeg
B. de Schutter
152
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24 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Yue Liu
Ding Zhao
757
252
0
04 Feb 2022
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies
Asia-Pacific Software Engineering Conference (APSEC), 2021
Aizaz Sharif
D. Marijan
AAML
338
26
0
22 Dec 2021
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