Research on low-speed unmanned vehicle diagnosis system based on fault tree
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 diagnos...
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| Veröffentlicht in: | Journal of physics. Conference series 2024-08, Vol.2816 (1), p.12083 |
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| container_title | Journal of physics. Conference series |
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| creator | Jin, Zhigang Zhang, Qingyu Wang, Yaofu |
| description | 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. |
| doi_str_mv | 10.1088/1742-6596/2816/1/012083 |
| format | Article |
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| ispartof | Journal of physics. Conference series, 2024-08, Vol.2816 (1), p.12083 |
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| language | eng |
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| source | Institute of Physics Open Access Journal Titles; EZB-FREE-00999 freely available EZB journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Fault diagnosis Fault tree analysis Low speed Pedestrian safety Pedestrians Unmanned vehicles Vehicle safety |
| title | Research on low-speed unmanned vehicle diagnosis system based on fault tree |
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