Cover Image

SafePlanner: Testing Safety of the Automated Driving System Plan Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Dohyun, Han, Sanggu, Woo, Sangmin, Jang, Joonha, Kim, Jaehoon, Song, Changhun, Kim, Yongdae
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causality-aware Safety Testing for Autonomous Driving Systems
by: Tang, Wenbing, et al.
Published: (2025)

Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
by: Kim, Youngkyoung, et al.
Published: (2025)

On-Demand Scenario Generation for Testing Automated Driving Systems
by: Yan, Songyang, et al.
Published: (2025)

Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems
by: Wan, Ziwen, et al.
Published: (2024)

ACT: Automated CPS Testing for Open-Source Robotic Platforms
by: Krishnan, Aditya A., et al.
Published: (2026)

A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
by: Zhao, Yongqi, et al.
Published: (2025)

LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
by: Tian, Haoxiang, et al.
Published: (2024)

Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization
by: Park, Soohyun, et al.
Published: (2024)

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems
by: Vater, Lennart, et al.
Published: (2024)

Event-Chain Analysis for Automated Driving and ADAS Systems: Ensuring Safety and Meeting Regulatory Timing Requirements
by: Dingler, Sebastian, et al.
Published: (2025)

Can AI Generate more Comprehensive Test Scenarios? Review on Automated Driving Systems Test Scenario Generation Methods
by: Zhou, Ji, et al.
Published: (2025)

Toward Automated Hypervisor Scenario Generation Based on VM Workload Profiling for Resource-Constrained Environments
by: Kim, Hyunwoo, et al.
Published: (2025)

Safety Verification and Optimization in Industrial Drive Systems
by: Hasrat, Imran Riaz, et al.
Published: (2025)

AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL
by: Stennett, Tyler, 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)

Generating Critical Scenarios for Testing Automated Driving Systems
by: Nguyen, Trung-Hieu, et al.
Published: (2024)

Taming the Beast: Fully Automated Unit Testing with Coyote C++
by: Rho, Sanghoon, et al.
Published: (2024)

Innovative Software Development and Project Management Framework for Technology Startups
by: Kim, Song-Kyoo
Published: (2017)

Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair
by: Han, Woorim, et al.
Published: (2025)

ASTRAL: Automated Safety Testing of Large Language Models
by: Ugarte, Miriam, et al.
Published: (2025)

Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs
by: Shi, Jieke, et al.
Published: (2024)

Moral Testing of Autonomous Driving Systems
by: Tang, Wenbing, et al.
Published: (2025)

From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry
by: Song, Qunying, et al.
Published: (2026)

MacroBench: A Novel Testbed for Web Automation Scripts via Large Language Models
by: Kim, Hyunjun, et al.
Published: (2025)

Identifying Root Causes of Null Pointer Exceptions with Logical Inferences
by: Kim, Jindae, et al.
Published: (2024)

LlamaRestTest: Effective REST API Testing with Small Language Models
by: Kim, Myeongsoo, et al.
Published: (2025)

Leveraging Large Language Models to Improve REST API Testing
by: Kim, Myeongsoo, et al.
Published: (2023)

Simulation-Based Application of Safety of The Intended Functionality to Mitigate Foreseeable Misuse in Automated Driving Systems
by: Patel, Milin, et al.
Published: (2025)

ADPerf: Investigating and Testing Performance in Autonomous Driving Systems
by: Pham, Tri Minh-Triet, et al.
Published: (2025)

Misbehavior Forecasting for Focused Autonomous Driving Systems Testing
by: Naziri, M M Abid, et al.
Published: (2025)

DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
by: Han, Hojae, et al.
Published: (2026)

Automated Statistical Testing and Certification of a Reliable Model-Coupling Server for Scientific Computing
by: Wolfgang, Seth, et al.
Published: (2025)

Generative AI for Testing of Autonomous Driving Systems: A Survey
by: Song, Qunying, et al.
Published: (2025)

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
by: Lambertenghi, Stefano Carlo, et al.
Published: (2025)

IEA-Plugin: An AI Agent Reasoner for Test Data Analytics
by: Kim, Seoyeon, et al.
Published: (2025)

MoDitector: Module-Directed Testing for Autonomous Driving Systems
by: Wang, Renzhi, et al.
Published: (2025)

Automated Attack Synthesis for Constant Product Market Makers
by: Han, Sujin, et al.
Published: (2024)

CooTest: An Automated Testing Approach for V2X Communication Systems
by: Guo, An, et al.
Published: (2024)

Scaling Automated Database System Testing
by: Zhong, Suyang, et al.
Published: (2025)

Detecting Flaky Tests in Quantum Software: A Dynamic Approach
by: Kim, Dongchan, et al.
Published: (2025)