Research on 3D LiDAR Point Cloud Matching Localization Method-Reference-Cited by-同舟云学术

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Research on 3D LiDAR Point Cloud Matching Localization Method

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)
language:
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Author:

Xue YiFei¹,Ai ChangSheng¹,Song Li²,Qian Lijun³,Ren GangChang¹,Zhai Lujun³

Affiliation:

1. School of Mechanical Engineering, University of Jinan,Jinan,Shandong Province,China

2. School of Intelligent Engineering, Yantai Institute of Science and Technology,Yantai,Shandong Province,China

3. Prairie View A&M University,Department of Electrical and Computer Engineering,Prairie View,Texas,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10021331/10021332/10021554.pdf?arnumber=10021554

Reference6 articles.

1. Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration;low;Chapel Hill North Carolina University,2004

2. An ICP variant using a point-to-line metric

3. Point Cloud Registration Algorithm Based on Combination of NDT and ICP;li;Computer Engineering and Applications,2022

4. Object modelling by registration of multiple range images

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Fast Feature Extraction-Based Method for Globally Accurate Registration of Multi-View Point Clouds;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

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