Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration-Reference-Cited by-同舟云学术

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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration

Published:2024-05-13 Issue: Volume:9 Page:6118-6125
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Ling Li¹,Zhang Jun²,Bore Nils³,Folkesson John¹,Wåhlin Anna⁴

Affiliation:

1. KTH Royal Institute of Technology,Division of Robotics, Perception and Learning (RPL),Stockholm,Sweden

2. TU Graz,Institute of Computer Graphics and Vision (ICGV),Austria

3. Ocean Infinity,Västra Frölunda,Sweden,SE-426 71

4. University of Gothenburg,Department of Marine Sciences,Sweden

Funder

Stiftelsen för Strategisk Forskning

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610118.pdf?arnumber=10610118

Reference45 articles.

1. Submarine Geomorphology

2. Rapid retreat of Thwaites Glacier in the pre-satellite era

3. A Self-Consistent Bathymetric Mapping Algorithm

4. Towards Autonomous Industrial-Scale Bathymetric Surveying

5. A Comparison of Submap Registration Methods for Multibeam Bathymetric Mapping

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