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CaDRE: Controllable and Diverse Generation of Safety-Critical Driving
  Scenarios using Real-World Trajectories

CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories

19 March 2024
Peide Huang
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
ArXivPDFHTML

Papers citing "CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories"

8 / 8 papers shown
Title
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
X. Liu
Shikui Wei
Zhijun Chen
B. Li
Qing-Wu Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
54
0
0
31 Mar 2025
Learning Realistic Traffic Agents in Closed-loop
Learning Realistic Traffic Agents in Closed-loop
Chris Zhang
James Tu
Lunjun Zhang
Kelvin Wong
Simon Suo
R. Urtasun
21
18
0
02 Nov 2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
Varun Bhatt
Heramb Nemlekar
Matthew C. Fontaine
Bryon Tjanaka
Hejia Zhang
Ya-Chuan Hsu
S. Nikolaidis
29
8
0
26 Apr 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical
  Latent Variables
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
H. Lam
Bo-wen Li
Ding Zhao
OOD
50
8
0
21 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
59
45
0
16 Sep 2022
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
38
37
0
19 Feb 2022
Seeking Quality Diversity in Evolutionary Co-design of Morphology and
  Control of Soft Tensegrity Modular Robots
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots
Enrico Zardini
Davide Zappetti
Davide Zambrano
Giovanni Iacca
Dario Floreano
21
18
0
25 Apr 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
134
221
0
17 Jan 2021
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