The invention discloses an intersection surrounding vehicle target classification method based on map information, which classifies surrounding vehicles according to a road relationship between a vehicle and the surrounding vehicles, thereby improving the accuracy of target classification. Specifically, based on the V2X technology, the position and the course of the vehicle, especially the map information of a front intersection can be obtained in real time, the current relative relation between the vehicle and surrounding vehicles is output according to the pre-sorted road relation of the roads where the two vehicles are located in different directions, and the relative direction and the distance value of the two vehicles are determined based on the determined current road relation. And target classification judgment is carried out on the surrounding vehicles. According to the invention, the map information provided by the vehicle-road cooperation system is utilized to bind the vehicles and the roads, and the absolute position relation between the roads is utilized to replace the relative position relation between the vehicles needing to be calculated, so that the adaptation mode of target classification and the inherent attributes of the roads is widened, and the calculation efficiency is improved. And meanwhile, the accuracy of a classification result is also remarkably improved.
本发明公开了一种基于地图信息的交叉路口周边车辆目标分类方法,根据本车与周边车辆的道路关系对周边车辆进行分类,从而提升目标分类的准确度。具体来说,基于V2X技术可以实时获取本车位置、航向,尤其是前方路口地图信息,并根据预先梳理的两车所处道路不同方位下的道路关系,输出本车与周边车辆二者当前的相对关系,基于确定的当前道路关系明确两车的相对方位及间距值,并据此对周边车辆进行目标分类判断。本发明利用车路协同系统提供的地图信息,将车辆与道路进行绑定,利用道路相互之间的绝对位置关系替代需要进行计算的车辆之间的相对位置关系,由此不仅拓宽了目标分类与道路固有属性的适配方式,同时也显著提升了分类结果的准确度。
Method for classifying vehicle targets around intersection based on map information
基于地图信息的交叉路口周边车辆目标分类方法
2024-05-14
Patent
Electronic Resource
Chinese
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