Detection-first tightly-coupled LiDAR-Visual-Inertial SLAM in dynamic environments-Reference-Cited by-同舟云学术

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Detection-first tightly-coupled LiDAR-Visual-Inertial SLAM in dynamic environments

Published:2025-01 Issue: Volume:239 Page:115506
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Xu Xiaobin^ORCID,Hu Jinchao,Zhang Lei,Cao Chenfei,Yang Jian,Ran Yingying,Tan Zhiying,Xu Linsen^ORCID,Luo Minzhou

Funder

China Postdoctoral Science Foundation

Jiangsu Provincial Key Research and Development Program

Support Program for Longyuan Youth and Fundamental Research Funds for the Universities of Gansu Province

Tianjin Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference42 articles.

1. J. Li, H. Zhan, B.M. Chen, I. Reid, G.H. Lee, Deep learning for 2D scan matching and loop closure, in: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, IEEE, 2018, pp. 763–768. https://doi.org/10.1109/IROS.2017.8202236.

2. A novel in-motion alignment method based on trajectory matching for autonomous vehicles;Yan;IEEE Trans. Veh. Technol.,2021

3. W. Hess, D. Kohler, H. Rapp, D. Andor, Real-time loop closure in 2D LIDAR SLAM, in: 2016 IEEE International Conference on Robotics and Automation, ICRA, 2016, pp. 1271–1278, https://doi.org/10.1109/ICRA.2016.7487258.

4. H. Wang, C. Wang, L. Xie, Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection, in: 2020 IEEE International Conference on Robotics and Automation, ICRA, 2020, pp. 2095–2101. https://doi.org/10.1109/ICRA40945.2020.9196764.

5. An open approach to autonomous vehicles;Kato;IEEE Micro.,2015

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