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LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models
v1v2 (latest)

LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models

27 January 2025
Yuewen Mei
Tong Nie
Jian Sun
Ye Tian
    AAML
ArXiv (abs)PDFHTML

Papers citing "LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models"

3 / 3 papers shown
Title
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
Miao Li
Wenhao Ding
Haohong Lin
Yiqi Lyu
Yihang Yao
Yuyou Zhang
Ding Zhao
LLMAG
58
0
0
23 May 2025
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Yuewen Mei
Tong Nie
Jian Sun
Ye Tian
200
3
0
02 May 2025
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Tong Nie
Jian Sun
Wei Ma
218
4
0
27 Mar 2025
1