SLAM algorithm based on cross-correlation scan matching

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100279" target="_blank" >RIV/61989100:27240/16:86100279 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?doid=3015166.3015184" target="_blank" >http://dl.acm.org/citation.cfm?doid=3015166.3015184</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3015166.3015184" target="_blank" >10.1145/3015166.3015184</a>

Result language
angličtina
Original language name
SLAM algorithm based on cross-correlation scan matching
Original language description
Mobile robotics, and particularly robot localization, has undergone tremendous development over the years. Conventional approaches typically employ a large set of sensors to determine robot's position. This contribution focuses on Simultaneous localization and mapping (SLAM) based on cross-correlation scan matching with input data being acquired through one laser sensor. The method does not involve additional sensors, such as odometers, thought it maintains to provide satisfactory and robust convergence towards an accurate robot position determination. The method is implemented and tested in a real indoor environment and, as experimental results show, is capable of operation in real time. (C) 2016 ACM.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ACM International Conference Proceeding Series 2016
ISBN
978-1-4503-4790-7
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
89-93
Publisher name
ACM
Place of publication
New York
Event location
Auckland
Event date
Nov 21, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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