Stereo Vision Based Navigation for Sun-Synchronous Exploration ...
This paper describes the navigation system used on a prototype sun-synchronous robot. Sun-synchrony is a concept that will enable exploration missions by solarpowered rovers that could last months or years. This paper presents navigation algorithms developed for traversing natural terrain robustly....
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Carnegie Mellon University
2002
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Online Access: | https://dx.doi.org/10.1184/r1/6560996.v1 https://kilthub.cmu.edu/articles/Stereo_Vision_Based_Navigation_for_Sun-Synchronous_Exploration/6560996/1 |
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ftdatacite:10.1184/r1/6560996.v1 2023-08-27T04:07:43+02:00 Stereo Vision Based Navigation for Sun-Synchronous Exploration ... Urmson, Chris P. M. Bernardine Dias Simmons, Reid G. 2002 https://dx.doi.org/10.1184/r1/6560996.v1 https://kilthub.cmu.edu/articles/Stereo_Vision_Based_Navigation_for_Sun-Synchronous_Exploration/6560996/1 unknown Carnegie Mellon University https://dx.doi.org/10.1184/r1/6560996 In Copyright http://rightsstatements.org/vocab/InC/1.0/ 80101 Adaptive Agents and Intelligent Robotics FOS Computer and information sciences Text article-journal Journal contribution ScholarlyArticle 2002 ftdatacite https://doi.org/10.1184/r1/6560996.v110.1184/r1/6560996 2023-08-07T14:24:23Z This paper describes the navigation system used on a prototype sun-synchronous robot. Sun-synchrony is a concept that will enable exploration missions by solarpowered rovers that could last months or years. This paper presents navigation algorithms developed for traversing natural terrain robustly. The novel elements of this work are the refinements necessary to transform laboratory-demonstrated technologies into a form useful for robust, sun-synchronous exploration. Results of a field experiment in the Canadian Arctic, where the robot traversed 6.1km, 90% autonomously, are also presented. ... Other Non-Article Part of Journal/Newspaper Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
unknown |
topic |
80101 Adaptive Agents and Intelligent Robotics FOS Computer and information sciences |
spellingShingle |
80101 Adaptive Agents and Intelligent Robotics FOS Computer and information sciences Urmson, Chris P. M. Bernardine Dias Simmons, Reid G. Stereo Vision Based Navigation for Sun-Synchronous Exploration ... |
topic_facet |
80101 Adaptive Agents and Intelligent Robotics FOS Computer and information sciences |
description |
This paper describes the navigation system used on a prototype sun-synchronous robot. Sun-synchrony is a concept that will enable exploration missions by solarpowered rovers that could last months or years. This paper presents navigation algorithms developed for traversing natural terrain robustly. The novel elements of this work are the refinements necessary to transform laboratory-demonstrated technologies into a form useful for robust, sun-synchronous exploration. Results of a field experiment in the Canadian Arctic, where the robot traversed 6.1km, 90% autonomously, are also presented. ... |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Urmson, Chris P. M. Bernardine Dias Simmons, Reid G. |
author_facet |
Urmson, Chris P. M. Bernardine Dias Simmons, Reid G. |
author_sort |
Urmson, Chris P. |
title |
Stereo Vision Based Navigation for Sun-Synchronous Exploration ... |
title_short |
Stereo Vision Based Navigation for Sun-Synchronous Exploration ... |
title_full |
Stereo Vision Based Navigation for Sun-Synchronous Exploration ... |
title_fullStr |
Stereo Vision Based Navigation for Sun-Synchronous Exploration ... |
title_full_unstemmed |
Stereo Vision Based Navigation for Sun-Synchronous Exploration ... |
title_sort |
stereo vision based navigation for sun-synchronous exploration ... |
publisher |
Carnegie Mellon University |
publishDate |
2002 |
url |
https://dx.doi.org/10.1184/r1/6560996.v1 https://kilthub.cmu.edu/articles/Stereo_Vision_Based_Navigation_for_Sun-Synchronous_Exploration/6560996/1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.1184/r1/6560996 |
op_rights |
In Copyright http://rightsstatements.org/vocab/InC/1.0/ |
op_doi |
https://doi.org/10.1184/r1/6560996.v110.1184/r1/6560996 |
_version_ |
1775348448731594752 |