The invention discloses a parking space screening method, a vehicle, a storage medium and a product, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining a driving environment image of the vehicle, and generating a target reference gray value of the driving environment image based on a gray value of a drivable region pixel point in the driving environment image; and marking the parking space in the driving environment image as a non-selectable parking space under the condition that the target reference gray value is smaller than a preset dim brightness threshold value. Namely, the parking space determined through the driving environment image is marked as the non-selectable parking space, so that the parking space in a dark scene is not selected for parking when the vehicle is automatically parked, and the safety risk of automatic parking of the vehicle is reduced.
本申请公开了一种停车位的筛选方法、车辆、存储介质及产品,涉及自动驾驶技术领域,方法包括:将获取车辆的行车环境图像,基于行车环境图像中可行驶区域像素点的灰度值,生成行车环境图像的目标参考灰度值;在目标参考灰度值小于预设昏暗亮度阈值的情况下,将行车环境图像中的车位标记为非可选车位。即通过行车环境图像确定出的车位标记为非可选车位,使得车辆在自动泊车时不会选择处于昏暗场景下的车位进行泊车,从而降低车辆自动泊车的安全风险。
Parking space screening method, vehicle, storage medium and product
停车位的筛选方法、车辆、存储介质及产品
2025-03-07
Patent
Electronic Resource
Chinese
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