Research on low-speed unmanned vehicle diagnosis system based on fault tree

Abstract To reduce the safety risks of low-speed unmanned vehicles losing control and colliding with pedestrians or vehicles due to malfunctions during autonomous task execution, Fault Tree Analysis (FTA) is used to analyze the safety of low-speed unmanned vehicles. A low-speed unmanned vehicle fault diagnosis system is designed to take corresponding measures in case of vehicle faults and improve vehicle driving safety.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-08-01
DOI
https://doi.org/10.1088/1742-6596/2816/1/012083
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
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article

Research on low-speed unmanned vehicle diagnosis system based on fault tree

Zhigang Jin, Yaofu Wang, Qingyu Zhang
Journal of Physics Conference Series
Autonomous Vehicle Technology and Safety
article

Research on low-speed unmanned vehicle diagnosis system based on fault tree

Zhigang Jin, Yaofu Wang, Qingyu Zhang
article en

Abstract

Abstract To reduce the safety risks of low-speed unmanned vehicles losing control and colliding with pedestrians or vehicles due to malfunctions during autonomous task execution, Fault Tree Analysis (FTA) is used to analyze the safety of low-speed unmanned vehicles. A low-speed unmanned vehicle fault diagnosis system is designed to take corresponding measures in case of vehicle faults and improve vehicle driving safety.

Journal of Physics Conference SeriesVol. 2816(1)
China Automotive Technology and Research Center (CN)
Sustainable cities and communities
Openalex Percentile: Top 87%
Autonomous Vehicle Technology and Safety
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