Visual localization of an omnidirectional robot using color detection by a multicamera system

Sofia Esquivel-Hernandez, Cesar I. Gonzalez Mejia, Oscar E. Garcia Vargas, Rigoberto Juarez-Salazar, Jorge Gudiño-Lau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Vision systems have become a promising feedback sensor for robot navigation due to their ability to extract meaningful scene information. In this work, a multicamera system is proposed to estimate the position and orientation of an omnidirectional robot. For this, three calibrated devices (two smartphones and a webcam) are employed. Also, two badges of different colors are placed on the omnidirectional robot to detect its position and orientation. The obtained pose information is used as feedback for the robot trajectory controller. The results show that the proposed system is a useful alternative for the visual localization of ground mobile robots.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing XVI
EditorsAbdul A. S. Awwal, Khan M. Iftekharuddin, Victor Hugo Diaz-Ramirez
PublisherSPIE
ISBN (Electronic)9781510654341
DOIs
StatePublished - 2022
EventOptics and Photonics for Information Processing XVI 2022 - San Diego, United States
Duration: 24 Aug 2022 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12225
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptics and Photonics for Information Processing XVI 2022
Country/TerritoryUnited States
CitySan Diego
Period24/08/22 → …

Keywords

  • Multicamera vision system
  • Robot navigation
  • Visual feedback control

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