Lidar Ground Segmentation Method Based on Point Cloud Cluster Combination Feature

Jingtao Shao; Changqing Du; Bin Zou

doi:10.3788/LOP202158.0428001

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 4 >Page 0428001-1 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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

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DOI: 10.3788/LOP202158.0428001 Cite this Article Set citation alerts

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 Copy Citation Text

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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

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