Author(s)

Minglei Hou, Jindong Zhang, Jinghan Zhang, Boyan Qian, Qiang Gao, Hongze Liu

Corresponding Author

Jindong Zhang

ABSTRACT

Lidar unmanned vehicles, point cloud segmentation, point cloud clustering, pattern recognition, target tracking. The lidar is completed by dividing the cluster of non-ground and ground obstacles, and the obstacle detection is realized. After clustering, feature recognition is realized, the end-to-end detection algorithm of deep neural network is used, the target tracking is completed by Kalman filter, and the lidar unmanned vehicle driving technology is finally completed

KEYWORDS

LIDAR, point cloud segmentation, point cloud clustering, Euclidean clustering, pattern recognition