Bayesian Filters in Practice
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F10%3A00347213" target="_blank" >RIV/61388998:_____/10:00347213 - 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
Bayesian Filters in Practice
Original language description
Bayesian filters represent the most commonly used tool for state estimation not only in mobile robotics. The filters are widely used in sensor data fusion and robot localization problems. The paper describes in detail our experiences with the filters inrobot localization using bearing only beacons. Bearing only beacons are easy to implement, therefore can be realized by the students and relatively complex task of Bayesian filtering can be explained using real data. Both simulation and practical resultswith Extended Kalman filter and Unscented Kalman filter are given, taking into consideration not only the precision of obtained estimate, but also its robustness against the noise and memory and computational requirements that must be considered when computational resources are limited.
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
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
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 1st International Conference on Robotics in Education
ISBN
978-80-227-3353-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Slovak University of Technology in Bratislava
Place of publication
Bratislava
Event location
Bratislava
Event date
Sep 16, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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