RectMatch: A novel scan matching method using the rectangle-flattening representation for mobile LiDAR systems-Reference-Cited by-同舟云学术

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RectMatch: A novel scan matching method using the rectangle-flattening representation for mobile LiDAR systems

Published:2021-10 Issue: Volume:180 Page:191-208
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Chen Pengxin,Shi Wenzhong,Fan Wenzheng,Xiang Haodong,Bao Sheng

Funder

The Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference63 articles.

1. Point clouds registration with probabilistic data association;Agamennoni,2016

2. PointNetLK: Robust efficient point cloud registration using PointNet;Aoki,2019

3. Least-squares fitting of two 3-D point sets;Arun;IEEE Trans. Pattern Anal. Mach. Intell.,1987

4. D3Feat: Joint learning of dense detection and description of 3D local features;Bai,2020

5. A method for registration of 3-D shapes;Besl;IEEE Trans. Pattern Anal. Mach. Intell.,1992

Cited by 3 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. Global principal planes aided LiDAR-based mobile mapping method in artificial environments;Advanced Engineering Informatics;2024-08

2. A featureless approach for object detection and tracking in dynamic environments;PLOS ONE;2023-01-17

3. WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-aware;International Journal of Applied Earth Observation and Geoinformation;2022-06

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