The invention discloses a commercial vehicle AEBS-based obstacle misrecognition correction algorithm and an implementation method, and belongs to the technical field of recognition correction, and the algorithm comprises the following steps: carrying out the information extraction of a detection structure; according to the method, a real scene can be simulated by adopting a 3D scene simulation technology, so that the vehicle motion can be displayed in a virtual scene in real time, the vehicle motion control can be realized by controlling the virtual scene, the application is convenient, and meanwhile, a detection process for identifying errors and an identification correction process are set in the method, so that the accuracy of the vehicle motion control is improved. According to the method, system identification problems can be detected and judged, self-adaptive automatic correction can be performed, system identification becomes more accurate and effective, sensor parameters and a classifier model are periodically updated, obstacle identification requirements in different scenes and environments can be effectively met, and the method is suitable for large-scale popularization and application. And the practical application effect of the method is greatly improved.
本发明公开了一种基于商用车AEBS障碍物误识别修正算法及实现方法,属于识别修正技术领域,包括如下步骤:对于检测结构进行信息提取;本发明中,该方法采用3D场景模拟技术能够对于真实场景进行模拟,从而使车辆运动能够在虚拟场景中实时显示,通过对于虚拟场景的控制能够实现对于车辆的运动控制,应用方便,同时方法内设置有识别错误的检测过程与识别修正过程,能够对于系统识别的问题进行检测与判断,同时能够自适应进行自动修正,使系统的识别变得更加精准有效,同时该方法还定期更新传感器参数和分类器模型,从而能够有效适应不同场景和环境下的障碍物识别需求,大大提高了该方法的实际应用效果。
Commercial vehicle AEBS-based obstacle misrecognition correction algorithm and implementation method
一种基于商用车AEBS障碍物误识别修正算法及实现方法
2024-07-02
Patent
Electronic Resource
Chinese
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