ICP algorithm point cloud registration method based on a new improved Harris Hawk algorithm-Reference-Cited by-同舟云学术

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ICP algorithm point cloud registration method based on a new improved Harris Hawk algorithm

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Wang Chen¹,Jiao Shangbin²,Gao Rui³,Li Yuxing²

Affiliation:

1. Xi’an University of Technology,School of Automation and Information Engineering,Xi’an,China

2. Xi’an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology,School of Automation and Information Engineering,Xi’an,China

3. Baoji University of Arts and Sciences Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology,School of Electronic & Electrical Engineering,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727548.pdf?arnumber=9727548

Reference13 articles.

1. Harris hawks optimization: Algorithm and applications[J];aaha;Future Generation Computer Systems,2019

2. Cuckoo search for inverse problems and simulated driven shape optimization [J];yang;Journal of Computational Methods in Sciences and Engineering,2011

3. Multiobjective cuckoo search for design optimization

4. Point cloud registration based on improved iterative closest point method

5. A correlation-based approach to robust point set registration [C];sin;European Conference on Computer Vision,2004

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