Lidar Target Point Cloud Alignment Based on Improved Neighborhood Curvature with Iteration Closest Point Algorithm

Yanhong Li; Jianguo Yan; Xiaoyan Wang

doi:10.3788/LOP212521

Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 2 >Page 0228008 > Article

Laser & Optoelectronics Progress
Vol. 60, Issue 2, 0228008 (2023)

Lidar Target Point Cloud Alignment Based on Improved Neighborhood Curvature with Iteration Closest Point Algorithm

Yanhong Li^1,2,*, Jianguo Yan², and Xiaoyan Wang³

Author Affiliations

¹School of Physics & Electronic Engineering, Xianyang Normal University, Xianyang 712000, Shaanxi, China

²School of Automation, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China

³School of Electrical and Mechanical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China

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DOI: 10.3788/LOP212521 Cite this Article Set citation alerts

Yanhong Li, Jianguo Yan, Xiaoyan Wang. Lidar Target Point Cloud Alignment Based on Improved Neighborhood Curvature with Iteration Closest Point Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0228008 Copy Citation Text

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