Mobile Robot in the Elevator: What Floor Am I On?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU150898" target="_blank" >RIV/00216305:26210/22:PU150898 - isvavai.cz</a>
Alternative codes found
RIV/61388998:_____/22:00568020
Result on the web
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983194" target="_blank" >http://dx.doi.org/10.1109/ME54704.2022.9983194</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME54704.2022.9983194" target="_blank" >10.1109/ME54704.2022.9983194</a>
Alternative languages
Result language
angličtina
Original language name
Mobile Robot in the Elevator: What Floor Am I On?
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
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 2022 20th International Conference on Mechatronics - Mechatronika (ME)
ISBN
978-1-6654-1040-3
ISSN
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e-ISSN
—
Number of pages
5
Pages from-to
„“-„“
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Pilsen
Event date
Dec 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000947331700048