The invention discloses a man-machine co-driving method, device and equipment for intelligent driving and a vehicle. The method comprises the following steps: acquiring historical driving information; learning and establishing a driving habit model according to the historical driving information; acquiring real-time driving information, wherein the real-time driving information comprises corresponding real-time lane line information, real-time vehicle speed information and real-time request torque; according to the real-time lane line information, the real-time vehicle speed information and the driving habit model, torque applying prediction information of a driver is calculated; and calculating output torque information according to the real-time request torque, the driver application torque prediction information and a first preset deviation threshold value, and sending the output torque information to the electric power steering system. According to the real-time driving information and based on the established driving habit model, the most possible torque application information of the driver is predicted in advance, and the torque information is calculated and output and is transmitted to the electric power steering system, so that the preemptive somatosensory of the driver in the process of accepting a steering wheel is weakened.
本发明公开一种用于智能驾驶的人机共驾方法、装置、设备和车辆,包括获取历史行车信息;根据历史行车信息学习并建立行车习惯模型;获取实时行车信息,其中实时行车信息包括相对应的实时车道线信息、实时车速信息和实时请求扭矩;根据实时车道线信息、实时车速信息和行车习惯模型,计算驾驶员施加扭矩预测信息;根据实时请求扭矩、驾驶员施加扭矩预测信息和第一预设偏差阈值,计算输出扭矩信息,并将此输出扭矩信息发送至电动助力转向系统。本申请根据实时行车信息,基于建立的行车习惯模型,提前预测出驾驶员最有可能的施加扭矩信息,并以此计算输出扭矩信息并传输至电动助力转向系统,有助于削弱驾驶员接受方向盘过程中的抢手体感。
Man-machine co-driving method, device and equipment for intelligent driving and vehicle
用于智能驾驶的人机共驾方法、装置、设备和车辆
07.02.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | B62D MOTOR VEHICLES , Motorfahrzeuge |
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