An unmanned vehicle object recognition algorithm based on LIDAR
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DOI: 10.23977/iset2021.032
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