Počet záznamů: 1

Bayesian Filters in Practice

  1. 1.
    0347213 - UT-L 2011 RIV SK eng C - Konferenční příspěvek (zahraniční konf.)
    Krejsa, Jiří - Věchet, S.
    Bayesian Filters in Practice.
    Proceedings of the 1st International Conference on Robotics in Education. Bratislava: Slovak University of Technology in Bratislava, 2010, s. 217-222. ISBN 978-80-227-3353-3.
    [Robotics in Education. Bratislava (SK), 16.09.2010-17.09.2010]
    Výzkumný záměr: CEZ:AV0Z20760514
    Klíčová slova: mobile robot localization * bearing only beacons * Bayesian filters
    Kód oboru RIV: JD - Využití počítačů, robotika a její aplikace

    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 in robot 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 results with 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.
    Trvalý link: http://hdl.handle.net/11104/0188040