Lidar Ground Segmentation Method Based on Point Cloud Cluster Combination Feature

Jingtao Shao; Changqing Du; Bin Zou

doi:10.3788/LOP202158.0428001

Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0428001-1(2021)

Lidar Ground Segmentation Method Based on Point Cloud Cluster Combination Feature

Jingtao Shao^1,2,3, Changqing Du^1,2,3、*, and Bin Zou^1,2,3

¹Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, Hubei 430070, China

²Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, Hubei 430070, China

³Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, Hubei 430070, China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 11, 2025

The article is cited by 8 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Jingtao Shao, Changqing Du, Bin Zou. Lidar Ground Segmentation Method Based on Point Cloud Cluster Combination Feature[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0428001-1

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Remote Sensing and Sensors

Received: Jun. 6, 2020

Accepted: Aug. 3, 2020

Published Online: Mar. 19, 2021

The Author Email: Changqing Du (cq_du@whut.edu.cn)

DOI:10.3788/LOP202158.0428001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology