Ground segmentation from 3D point cloud using features of scanning line segmentsChinese Full Text
Cheng Ziyang;Ren Guoquan;Zhang Yin;Department of Vehicle and Electrical Engineering, Army Engineering University;
Abstract: Aiming at the problem of accurately segmenting the ground in real-time from 3D LiDAR point cloud, a ground segmentation algorithm based on the features of scanning line segments is proposed. The algorithm first performs de-noising and pose correction on the 3D point cloud, then divides the scanning line according to the Euclidean distance and absolute height difference between adjacent points. Next, the characteristics of the adjacent line segments such as spacing, slope, and absolute height dif... More
- Series:
(I) Electronic Technology & Information Science
- Subject:
Telecom Technology
- Classification Code:
TN958.98
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