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

Laser & Optoelectronics Progress, Volume. 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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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

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Paper Information

Category: Remote Sensing and Sensors

Received: Sep. 14, 2021

Accepted: Dec. 13, 2021

Published Online: Jan. 6, 2023

The Author Email: Yanhong Li (33241318@qq.com)

DOI:10.3788/LOP212521

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology