TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction
Fuente:
arXiv
Saved in:
| Main Authors: | Deng, Yao, Yao, Jiaohong, Tu, Zhi, Zheng, Xi, Zhang, Mengshi, Zhang, Tianyi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing
by: Tu, Zhi, et al.
Published: (2025)
by: Tu, Zhi, et al.
Published: (2025)
SAFE: Harnessing LLM for Scenario-Driven ADS Testing from Multimodal Crash Data
by: Luo, Siwei, et al.
Published: (2025)
by: Luo, Siwei, et al.
Published: (2025)
AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025)
by: Liang, Linfeng, et al.
Published: (2025)
An LLM-driven Scenario Generation Pipeline Using an Extended Scenic DSL for Autonomous Driving Safety Validation
by: Safa, Fida Khandaker, et al.
Published: (2026)
by: Safa, Fida Khandaker, et al.
Published: (2026)
A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline
by: Jiang, Yupeng, et al.
Published: (2025)
by: Jiang, Yupeng, et al.
Published: (2025)
AI-Augmented Metamorphic Testing for Comprehensive Validation of Autonomous Vehicles
by: Zhang, Tony, et al.
Published: (2025)
by: Zhang, Tony, et al.
Published: (2025)
VistaScenario: Interaction Scenario Engineering for Vehicles with Intelligent Systems for Transport Automation
by: Chang, Cheng, et al.
Published: (2024)
by: Chang, Cheng, et al.
Published: (2024)
RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing
by: Yang, Fan, et al.
Published: (2024)
by: Yang, Fan, et al.
Published: (2024)
Learning Responsibility-Attributed Adversarial Scenarios for Testing Autonomous Vehicles
by: Xiao, Yizhuo, et al.
Published: (2026)
by: Xiao, Yizhuo, et al.
Published: (2026)
LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
by: Tian, Haoxiang, et al.
Published: (2024)
by: Tian, Haoxiang, et al.
Published: (2024)
Scenario-Guided LLM-based Mobile App GUI Testing
by: Yu, Shengcheng, et al.
Published: (2025)
by: Yu, Shengcheng, et al.
Published: (2025)
Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)
by: Pham, Tri Minh Triet, et al.
Published: (2024)
Automating API Documentation from Crowdsourced Knowledge
by: Kou, Bonan, et al.
Published: (2026)
by: Kou, Bonan, et al.
Published: (2026)
Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems
by: Wan, Ziwen, et al.
Published: (2024)
by: Wan, Ziwen, et al.
Published: (2024)
Integration of an Agent Model into an Open Simulation Architecture for Scenario-Based Testing of Automated Vehicles
by: Geller, Christian, et al.
Published: (2026)
by: Geller, Christian, et al.
Published: (2026)
BASFuzz: Towards Robustness Evaluation of LLM-based NLP Software via Automated Fuzz Testing
by: Xiao, Mingxuan, et al.
Published: (2025)
by: Xiao, Mingxuan, et al.
Published: (2025)
From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing
by: Liang, Linfeng, et al.
Published: (2026)
by: Liang, Linfeng, et al.
Published: (2026)
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
by: Zhao, Xingyu, et al.
Published: (2025)
by: Zhao, Xingyu, et al.
Published: (2025)
Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead
by: Su, Yanqi, et al.
Published: (2024)
by: Su, Yanqi, et al.
Published: (2024)
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
by: Li, Shu, et al.
Published: (2024)
by: Li, Shu, et al.
Published: (2024)
On-Demand Scenario Generation for Testing Automated Driving Systems
by: Yan, Songyang, et al.
Published: (2025)
by: Yan, Songyang, et al.
Published: (2025)
Java JIT Testing with Template Extraction
by: Zang, Zhiqiang, et al.
Published: (2024)
by: Zang, Zhiqiang, et al.
Published: (2024)
Practical, Automated Scenario-based Mobile App Testing
by: Yu, Shengcheng, et al.
Published: (2024)
by: Yu, Shengcheng, et al.
Published: (2024)
Can AI Generate more Comprehensive Test Scenarios? Review on Automated Driving Systems Test Scenario Generation Methods
by: Zhou, Ji, et al.
Published: (2025)
by: Zhou, Ji, et al.
Published: (2025)
Regression Testing Optimization for ROS-based Autonomous Systems: A Comprehensive Review of Techniques
by: Jiang, Yupeng, et al.
Published: (2025)
by: Jiang, Yupeng, et al.
Published: (2025)
Cast: Automated Resilience Testing for Production Cloud Service Systems
by: Chen, Zhuangbin, et al.
Published: (2026)
by: Chen, Zhuangbin, et al.
Published: (2026)
An Analysis of Automated Use Case Component Extraction from Scenarios using ChatGPT
by: KC, Pragyan, et al.
Published: (2024)
by: KC, Pragyan, et al.
Published: (2024)
ChatUniTest: A Framework for LLM-Based Test Generation
by: Chen, Yinghao, et al.
Published: (2023)
by: Chen, Yinghao, et al.
Published: (2023)
KTester: Leveraging Domain and Testing Knowledge for More Effective LLM-based Test Generation
by: Li, Anji, et al.
Published: (2025)
by: Li, Anji, et al.
Published: (2025)
ARCEAK: An Automated Rule Checking Framework Enhanced with Architectural Knowledge
by: Chen, Junyong, et al.
Published: (2024)
by: Chen, Junyong, et al.
Published: (2024)
REDriver: Runtime Enforcement for Autonomous Vehicles
by: Sun, Yang, et al.
Published: (2024)
by: Sun, Yang, et al.
Published: (2024)
Quantum-Guided Test Case Minimization for LLM-Based Code Generation
by: Zhang, Huixiang, et al.
Published: (2025)
by: Zhang, Huixiang, et al.
Published: (2025)
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation
by: Yan, Hao, et al.
Published: (2025)
by: Yan, Hao, et al.
Published: (2025)
RUM: Rule+LLM-Based Comprehensive Assessment on Testing Skills
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
LogiAgent: Automated Logical Testing for REST Systems with LLM-Based Multi-Agents
by: Zhang, Ke, et al.
Published: (2025)
by: Zhang, Ke, et al.
Published: (2025)
Traffic Scenario Orchestration from Language via Constraint Satisfaction
by: Rong, Frieda, et al.
Published: (2026)
by: Rong, Frieda, et al.
Published: (2026)
Assessing the Robustness of LLM-based NLP Software via Automated Testing
by: Xiao, Mingxuan, et al.
Published: (2024)
by: Xiao, Mingxuan, et al.
Published: (2024)
SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing
by: Guo, An, et al.
Published: (2024)
by: Guo, An, et al.
Published: (2024)
MARL-OT: Multi-Agent Reinforcement Learning Guided Online Fuzzing to Detect Safety Violation in Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025)
by: Liang, Linfeng, et al.
Published: (2025)
A Regression Testing Framework with Automated Assertion Generation for Machine Learning Notebooks
by: Yao, Yingao Elaine, et al.
Published: (2025)
by: Yao, Yingao Elaine, et al.
Published: (2025)
Similar Items
-
Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing
by: Tu, Zhi, et al.
Published: (2025) -
SAFE: Harnessing LLM for Scenario-Driven ADS Testing from Multimodal Crash Data
by: Luo, Siwei, et al.
Published: (2025) -
AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025) -
An LLM-driven Scenario Generation Pipeline Using an Extended Scenic DSL for Autonomous Driving Safety Validation
by: Safa, Fida Khandaker, et al.
Published: (2026) -
A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline
by: Jiang, Yupeng, et al.
Published: (2025)