The invention discloses a vehicle driving fault detection method, a device and equipment and a storage medium, and the method comprises the steps: building a driving fault monitoring model through a deep learning model, and obtaining a fault monitoring threshold value of the driving fault monitoring model through the combination of kernel density estimation; highlighting the influence of the fault sensitive characteristics by adopting a dynamic weighting factor to improve the sensitivity of fault detection, obtaining a dynamic monitoring index, and judging whether the dynamic monitoring index exceeds a fault monitoring threshold value to realize real-time intelligent monitoring of the driving fault in the vehicle driving process, so that the driving fault can be monitored in real time when the dangerous fault of the vehicle is detected, a warning can be given to a driver in time, and traffic accidents are avoided.
本发明公开了一种车辆驾驶故障检测方法、装置、设备及存储介质,其通过深度学习模型构建驾驶故障监控模型,结合核密度估计得到所述驾驶故障监控模型的故障监控阈值,并采用动态加权因子突出故障敏感特征的影响以提高故障检测的灵敏度,得到动态监控指标,并判断动态监控指标是否超过故障监控阈值,以实现车辆行驶过程中驾驶故障的实时智能监控,进而能在检测到车辆有危险故障发生时,可以及时向驾驶员发出警告,避免交通事故意外的发生。
Vehicle driving fault detection method, device and equipment and storage medium
车辆驾驶故障检测方法、装置、设备及存储介质
2021-12-14
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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