A fast LiDAR place recognition and localization method by fusing local and global search-Reference-Cited by-同舟云学术

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A fast LiDAR place recognition and localization method by fusing local and global search

Published:2023-08 Issue: Volume:202 Page:637-651
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:

Shi Pengcheng^ORCID,Li Jiayuan,Zhang Yongjun^ORCID

Funder

National Natural Science Foundation of China

Major Science and Technology Project of Hainan Province

Publisher

Elsevier BV

Subject

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

Reference65 articles.

1. NetVLAD: CNN architecture for weakly supervised place recognition;Arandjelovic,2016

2. SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences;Behley,2019

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

4. LCDNet: Deep loop closure detection and point cloud registration for LiDAR SLAM;Cattaneo;IEEE Trans. Robot.,2022

5. PointNet: Deep learning on point sets for 3D classification and segmentation;Charles,2017

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1. LGD: A fast place recognition method based on the fusion of local and global descriptors;Expert Systems with Applications;2024-10

2. MCG-SLAM: Tightly coupled SLAM for multi-factor constraint graph optimisation;Information Sciences;2024-09

3. Look at the whole scene: General point cloud place recognition by classification proxy;ISPRS Journal of Photogrammetry and Remote Sensing;2024-09

4. Lightweight and rotation-invariant place recognition network for large-scale raw point clouds;ISPRS Journal of Photogrammetry and Remote Sensing;2024-06

5. 3D LiDAR SLAM: A survey;The Photogrammetric Record;2024-05-13

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