ADSDx: Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems

Huang, Zongan; Dai, Jiarun; Luo, Mingyuan; Chen, Yuqi; Sun, Huijia; Zhang, Yuan; Yang, Min

doi:10.5281/zenodo.17847407

Published December 7, 2025 | Version v1

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ADSDx: Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems

1. Fudan University
2. ShanghaiTech University

ADSDx is a novel framework implemented to diagnose autonomous driving system (ADS) accidents discussed in the paper titled “ADSDx: Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems”, including pototypes, simulation platform, and key evaluation results.

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ADSDx-3F20.zip

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Accepted: 2025-12-04

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License: Creative Commons Attribution 4.0 International

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Created: December 7, 2025
Modified: December 7, 2025

ADSDx: Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems

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Files

ADSDx-3F20.zip

Files (254.7 MB)

Additional details

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