The invention discloses a driving ability evaluation method and device, a storage medium, electronic equipment and a vehicle, and relates to the field of vehicle control, and the method comprises the steps: obtaining driving behavior data and physiological feature data of a driver; the driving behavior data and the physiological feature data are input into a pre-trained driving ability evaluation model, a driving ability evaluation result is obtained, and the driving ability evaluation model is used for evaluating the driving ability by recognizing driving features in the physiological feature data and recognizing physiological features in the physiological feature data. An evaluation score under a driving ability evaluation index is determined, a driving ability evaluation result is determined according to the evaluation score, and the driving ability evaluation index comprises at least one of a driving skill level, a safety score and a driving behavior problem. The driving skill and safety of the driver can be monitored and evaluated in real time, and then the driving safety of the vehicle can be improved.
本申请公开一种驾驶能力评估方法、装置、存储介质、电子设备及车辆,涉及车辆控制领域,包括:获取驾驶员的驾驶行为数据以及生理特征数据;将所述驾驶行为数据和所述生理特征数据输入预训练完成的驾驶能力评估模型,得到驾驶能力评估结果,其中,所述驾驶能力评估模型用于通过识别所述生理特征数据中的驾驶特征,以及识别所述生理特征数据中的生理特征,确定驾驶能力评估指标下的评估分值,以及依据所述评估分值确定驾驶能力评估结果,所述驾驶能力评估指标包括驾驶技能等级、安全性评分以及驾驶行为问题中的至少一种。本申请能够对驾驶员的驾驶技能和安全性进行实时监测与评估,进而能够提升车辆的行驶安全性。
Driving ability evaluation method and device, storage medium, electronic equipment and vehicle
驾驶能力评估方法、装置、存储介质、电子设备及车辆
2024-12-03
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 / B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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