The invention relates to the field of intelligent driving, particularly provides a pavement feature recognition method, a suspension control method, a cloud platform and driving equipment, and aims to solve the technical problem of how to accurately recognize pavement features and automatically adjust a suspension. In order to achieve the purpose, the road surface feature recognition method is applied to a cloud platform and comprises the steps of obtaining driving data of driving equipment; pre-training a pavement feature recognition model based on the driving data to obtain a trained pavement feature recognition model; the pavement feature recognition model is sent to the driving equipment, so that the driving equipment obtains a pavement feature recognition result based on the pavement feature recognition model; obtaining a road surface feature recognition result and driving data sent by the driving equipment; and performing reinforced training on the pavement feature recognition model based on the pavement feature recognition result and the driving data. Through the real-time mode, the road surface feature recognition model can be dynamically updated, and the driving equipment can accurately recognize the road condition and automatically adjust the suspension according to the road condition.
本申请涉及智能驾驶领域,具体提供一种路面特征识别方法、悬架控制方法、云端平台及驾驶设备,旨在解决如何准确地识别路面特征并自动调节悬架的技术问题。为此目的,本申请的路面特征识别方法应用于云端平台,包括获取驾驶设备的行驶数据;基于行驶数据对路面特征识别模型进行预训练,得到训练好的路面特征识别模型;将路面特征识别模型发送至驾驶设备,以使得驾驶设备基于路面特征识别模型得到路面特征识别结果;获取驾驶设备发送的路面特征识别结果和行驶数据;基于路面特征识别结果和行驶数据对路面特征识别模型进行强化训练。通过上述实时方式,使路面特征识别模型能够动态更新,驾驶设备能够准确地识别路况,并根据路况自动调节悬架。
Road surface feature recognition method, suspension control method, cloud platform and driving equipment
路面特征识别方法、悬架控制方法、云端平台及驾驶设备
2024-02-06
Patent
Electronic Resource
Chinese
IPC: | B60G VEHICLE SUSPENSION ARRANGEMENTS , Radaufhängungen und Federungen für Fahrzeuge |
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