This publication describes an application of a Truncated
Signed Distance Mapping approach for disaster
intervention in underground mine shafts through
geometrical change detection of the shaft walls. The
paper describes two main problems of such an
approach (aligning two potentially huge point clouds
and automatic change detection by comparing the
reconstructed volumes) and explains in detail the
proposed solution.(more)
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%0 Conference Paper
%1 SSRR2020
%A Koch, P.
%A Engelhardt, H.
%A May, S.
%A Schmidpeter, M.
%A Ziegler, J.
%A Nüchter, A.
%B IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR '20)
%D 2020
%K author imported myown
%P 1--6
%R 10.1109/SSRR50563.2020.9292618
%T Signed Distance Based Reconstruction for Exploration and Change Detection in Underground Mining Disaster Prevention
%U https://robotik.informatik.uni-wuerzburg.de/telematics/download/ssrr2020.pdf
%X This publication describes an application of a Truncated
Signed Distance Mapping approach for disaster
intervention in underground mine shafts through
geometrical change detection of the shaft walls. The
paper describes two main problems of such an
approach (aligning two potentially huge point clouds
and automatic change detection by comparing the
reconstructed volumes) and explains in detail the
proposed solution.
@inproceedings{SSRR2020,
abstract = {This publication describes an application of a Truncated
Signed Distance Mapping approach for disaster
intervention in underground mine shafts through
geometrical change detection of the shaft walls. The
paper describes two main problems of such an
approach (aligning two potentially huge point clouds
and automatic change detection by comparing the
reconstructed volumes) and explains in detail the
proposed solution.},
added-at = {2021-06-08T14:29:18.000+0200},
author = {Koch, P. and Engelhardt, H. and May, S. and Schmidpeter, M. and Ziegler, J. and {N{\"u}chter}, A.},
biburl = {https://www.bibsonomy.org/bibtex/2d2d6b40571fb277a3fb9653bc204afde/nuechter76},
booktitle = {IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR '20)},
doi = {10.1109/SSRR50563.2020.9292618},
interhash = {acd8a2c17752bfe8e40f5200a59b5e00},
intrahash = {d2d6b40571fb277a3fb9653bc204afde},
keywords = {author imported myown},
month = {November},
pages = {1--6},
timestamp = {2024-07-30T17:33:08.000+0200},
title = {{Signed Distance Based Reconstruction for Exploration and Change Detection in Underground Mining Disaster Prevention}},
url = {https://robotik.informatik.uni-wuerzburg.de/telematics/download/ssrr2020.pdf},
year = 2020
}