The invention provides a variable reversible lane automatic identification method and device applied to automatic driving, and the method comprises the steps: collecting an image in front of a vehicle in real time through a vehicle-mounted foresight camera in the driving process of the vehicle, and obtaining a camera image; recognizing the reversible lane plate in the camera picture by using the target detection model to obtain position recognition information and content recognition information; acquiring map position information of reversible lane boards within a preset distance in front of the current position of the vehicle from a map; mapping the map position information into a camera picture to obtain mapped map position information; according to the position identification information and the mapped map position information, matching the camera picture with the reversible lane plates in the map to obtain a plurality of lane plate matching pairs; and carrying out information fusion on the plurality of lane plate matching pairs, and obtaining a final reversible lane recognition result according to the fused information and the content recognition information. The method combines the map and the deep learning technology, and greatly improves the recognition accuracy of the reversible lane.
本发明提供了一种应用于自动驾驶的可变潮汐车道自动识别方法及装置,包括:在车辆行驶过程中利用车载前视相机实时采集车辆前方图像,得到相机画面;利用目标检测模型对相机画面中的潮汐车道牌进行识别,得到位置识别信息和内容识别信息;从地图中获取车辆当前位置前方预设距离内潮汐车道牌的地图位置信息;将地图位置信息映射到相机画面中,得到映射后地图位置信息;根据位置识别信息和映射后地图位置信息,对相机画面和地图中的潮汐车道牌进行匹配,得到多个车道牌匹配对;对多个车道牌匹配对进行信息融合,并根据融合后的信息和内容识别信息得到最终的潮汐车道识别结果。本发明结合地图和深度学习技术,大大提高潮汐车道识别的准确率。
Variable reversible lane automatic identification method and device applied to automatic driving
应用于自动驾驶的可变潮汐车道自动识别方法及装置
2023-03-03
Patent
Electronic Resource
Chinese
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