本发明提供了一种用于识别交通灯的高精地图生成方法。该高精地图生成方法包括:获取路测数据,其中,路测数据包括每一交通灯的视频数据;对视频数据进行标注得到交通灯的标注数据,其中,标注数据包括交通灯的状态、以及交通灯信息;利用视频数据和标注数据生成交通灯的识别模型;以及将识别模型和交通灯信息储存到高精地图中,生成用于识别交通灯的高精地图。此外,本发明还提供了一种应用高精地图识别交通灯的方法及系统。本发明技术方案将识别模型储存到高精地图中,能够有效结合高精地图对交通灯进行识别。
A generation method of high-precision map for recognizing traffic lights is provided. The generation method comprised steps of: obtaining road test data comprising video data of traffic lights; marking the video data in order to obtain marked data of the traffic lights, the marked data comprising states of the traffic lights and traffic lights information; using the video data and the marked data to generate a recognition model of the traffic lights; and storing the recognition model and the traffic lights information in a high-precision map to generate a high-precision map for recognizing the traffic lights. Furthermore, a method and system for recognizing traffic lights using high-precision map are also provided. The recognition model is stored in the high-precision map, and cooperating with the high-precision map to effectively recognize the traffic lights.
高精地图生成方法、以及识别交通灯的方法及系统
2021-04-27
Patent
Elektronische Ressource
Chinesisch