A Comparison of Point Cloud Registration Techniques for on-site Disaster Data from the Surfside Structural Collapse-Reference-Cited by-同舟云学术

A Comparison of Point Cloud Registration Techniques for on-site Disaster Data from the Surfside Structural Collapse

Published:2022-11-08 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
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Author:

Bal Ananya¹,Ladig Robert²,Goyal Pranav³,Galeotti John¹,Choset Howie¹,Merrick David⁴,Murphy Robin⁵

Affiliation:

1. The Robotics Institute, Carnegie Mellon University,Pittsburgh, PA,USA

2. Ritsumeikan University,The Department of Science and Engineering,Kusatsu,Japan

3. The Birla Institute of Technology & Science - Pilani,Goa,India

4. The College of Social Science and Public Policy, Florida State University,USA

5. Raytheon Professor of Computer Science and Engineering, Texas A&M University,USA

Publisher

IEEE

Link

Reference32 articles.

1. Identification of stable areas in unreferenced laser scans for deformation measurement;daniel;The Photogrammetric Record,2016

5. A comprehensive survey on point cloud registration;xiaoshui;ArXiv Preprint,2021

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