3D-BBS: Global Localization for 3D Point Cloud Scan Matching Using Branch-and-Bound Algorithm-Reference-Cited by-同舟云学术

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3D-BBS: Global Localization for 3D Point Cloud Scan Matching Using Branch-and-Bound Algorithm

Published:2024-05-13 Issue: Volume: Page:1796-1802
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Aoki Koki¹,Koide Kenji²,Oishi Shuji²,Yokozuka Masashi²,Banno Atsuhiko²,Meguro Junichi¹

Affiliation:

1. Meijo University,Department of Mechatronics Engineering,Nagoya,Japan,4688502

2. the National Institute of Advanced Industrial Science and Technology,Department of Information Technology and Human Factors,Tsukuba,Japan,3050061

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610810.pdf?arnumber=10610810

Reference22 articles.

1. TEASER: Fast and Certifiable Point Cloud Registration

2. A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments

3. Fast Global Registration

4. Real-time loop closure in 2D LIDAR SLAM

5. A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems

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. Tightly Coupled Range Inertial Localization on a 3D Prior Map Based on Sliding Window Factor Graph Optimization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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