Mobile Robot in the Elevator: What Floor Am i On?

Jiri Krejsa, Stanislav Vechet, Kuo Shen Chen, Martin Havelka, Martin Černil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2022 20th International Conference on Mechatronics - Mechatronika, ME 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665410403
DOIs
Publication statusPublished - 2022
Event20th International Conference on Mechatronics - Mechatronika, ME 2022 - Pilsen, Czech Republic
Duration: 2022 Dec 72022 Dec 9

Publication series

NameProceedings of the 2022 20th International Conference on Mechatronics - Mechatronika, ME 2022

Conference

Conference20th International Conference on Mechatronics - Mechatronika, ME 2022
Country/TerritoryCzech Republic
CityPilsen
Period22-12-0722-12-09

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Software
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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