Název:
Mobile Robot in the Elevator: What Floor Am i On?
Autoři:
Krejsa, Jiří ; Věchet, Stanislav ; Chen, K.S. ; Havelka, M. ; Černil, M. Typ dokumentu: Příspěvky z konference Konference/Akce: International Conference on Mechatronics - Mechatronika /20./, Plzeň (CZ), 20221207
Rok:
2022
Jazyk:
eng
Abstrakt: Wheeled mobile robots in multiple stories buildings have to use elevator to access arbitrary floor of the building. To do so, the control system must be able to detect and access elevator controls and also determine on which floor the elevator stopped. The paper deals with the latter problem, using the fusion of relative floor change detected by onboard accelerometer and absolute floor number detected by the processing of elevator information screen panel image acquired by onboard camera. Bayesian filter is used for data fusion and convolution neural network for image processing. Field tests resulted in 97% correct detection.
Klíčová slova:
Bayesian filtering; elevator floor determination; mobile robot Číslo projektu: MOST-20-06 (CEP) Poskytovatel projektu: AV ČR Zdrojový dokument: Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika, ME 2022, ISBN 978-166541040-3 Poznámka: Související webová stránka: https://ieeexplore.ieee.org/document/9983194
Instituce: Ústav termomechaniky AV ČR
(web)
Informace o dostupnosti dokumentu:
Dokument je dostupný v příslušném ústavu Akademie věd ČR. Původní záznam: https://hdl.handle.net/11104/0340386