The invention relates to a parking control method, device and equipment, a medium and a vehicle, and the method comprises the steps: carrying out the preprocessing of the data of the environment around the vehicle at the current moment, and obtaining an initial state vector; wherein the preprocessing comprises denoising, filtering and data format conversion; obtaining an external state vector, and predicting an optimal prediction state vector at the current moment through an extended Kalman filtering module according to the external state vector; fusing the optimal prediction state vector with the initial state vector to obtain a target state vector; and controlling the vehicle to park based on the target state vector. The performance and reliability of the parking system can be improved.
本公开涉及一种泊车控制方法、装置、设备、介质及车辆,该方法包括:在当前时刻,对车辆周围的环境数据进行预处理,得到初始状态向量;其中,预处理包括:去噪、滤波和数据格式转换;获取外界状态向量,并通过扩展卡尔曼滤波模块根据外界状态向量预测当前时刻的最优预测状态向量;将最优预测状态向量与初始状态向量相融合,得到目标状态向量;基于目标状态向量控制车辆进行泊车。本公开能够提高泊车系统的性能和可靠性。
Parking control method, device, equipment, medium and vehicle
泊车控制方法、装置、设备、介质及车辆
2024-11-26
Patent
Electronic Resource
Chinese
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