Navigation of Robotics Platform Using Advanced Image Processing Navigation Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39899891" target="_blank" >RIV/00216275:25530/15:39899891 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Navigation of Robotics Platform Using Advanced Image Processing Navigation Methods
Original language description
This paper deals with methods suitable for movable robotics platform navigation. We can divide these methods into suitability for indoor navigation, outdoor navigation or its combination. At present, the navigation methods of robotics platforms, suitablefor outdoor spaces, are based on GNSS (Global Navigation Satellite System). Accurate position estimation is a big advantage for this type of navigation. Unfortunately this type of navigation is not suitable for indoor spaces and industrial areas, mainlybecause of the weak signal and low position accuracy. An alternative navigation system is necessary for these solutions - system independent on satellite navigation. Our research is focused on movable robotics platform navigation using advanced image processing methods. Descriptions of these sophisticated methods are presented in this paper.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing
ISBN
978-1-138-02926-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
341-346
Publisher name
Taylor & Francis Inc
Place of publication
Philadelphia
Event location
Tenerife
Event date
Oct 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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