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Research on Vehicle Detection Method based On LIDAR in UGV Leader-Follower Systems

机译:基于UGV领导者跟随系统LIDAR的车辆检测方法研究

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摘要

Aiming at the practical problem of target vehicle detection and tracking in the UGV Leader-follower Systems, a method of detecting and tracking vehicle by using LIDAR is proposed. As an active sensor, LIDAR can obtain the distance and angle information of the object in real time, and has high resolution and robustness. In this method, the LIDAR is installed on the following vehicle, and the two-dimensional laser scanning data in the environment is acquired in real time. Then the nearest neighbor clustering method is used to segment and cluster the LIDAR data. Then, the vehicle tail data is identified from the segmented data by using the straight line tail recognition method designed by the shape feature information of the vehicle, and the position information of the vehicle tail relative to the following vehicle is obtained. By using the data of LIDAR before and after the location of the contrast, determined the speed of the vehicle. Finally, the experiment proves that the method can meet the requirements of vehicle detection and tracking in the UGV Leader-follower Systems.
机译:针对UGV领导者系统中的目标车辆检测和跟踪的实际问题,提出了通过使用激光雷达检测和跟踪车辆的方法。作为有源传感器,LIDAR可以实时获得物体的距离和角度信息,并且具有高分辨率和鲁棒性。在该方法中,LIDAR安装在以下车辆上,并且在环境中的二维激光扫描数据实时获取。然后,最近的邻居群集方法用于段和群集LIDAR数据。然后,通过使用由车辆的形状特征信息设计的直线尾识别方法从分段数据识别车辆尾数据,并且获得了车辆尾部相对于以下车辆的位置信息。通过使用对比度的位置之前和之后的LIDAR数据,确定了车辆的速度。最后,实验证明,该方法可以满足UGV领导者系统中车辆检测和跟踪的要求。

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