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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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ADSDx: Towards Automated Accident Diagnosis for High-level Autonomous Driving Systems

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Dec 2025Publisher:Zenodo
Authors: Huang, Zongan; Dai, Jiarun; Luo, Mingyuan; Chen, Yuqi; Sun, Huijia; Zhang, Yuan; Yang, Min;

doi: 10.5281/zenodo.17847407 , 10.5281/zenodo.17847406

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

Abstract

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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Keywords

simulation testing, accident diagnosis, autonomous driving system

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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