Vision system adapted to a mobile tracked robot

Uriel Escalona, Elsa Rubio, Humberto Sossa, Victor H. Ponce-Ponce

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

1 Scopus citations

Abstract

This research is focused on the implementation of a vision system intended for a mobile tracked robot, based on three different detectors and feature descriptors which have been analyzed to determine which gives the best performance. The metrics used for comparison purposes are: time processing, resistance to noise and invariance to rotation. Experimental tests conducted demonstrated that the Oriented Fast and Rotated Brief (ORB) approach is the fastest, providing similar results in terms of noise resistance and invariance to rotation showing good performance in a real world environment.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages401-406
Number of pages6
ISBN (Electronic)9784907764579
DOIs
StatePublished - 10 Nov 2017
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 19 Sep 201722 Sep 2017

Publication series

Name2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volume2017-November

Conference

Conference56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Country/TerritoryJapan
CityKanazawa
Period19/09/1722/09/17

Keywords

  • ORB
  • Vision descriptor
  • tracked robot
  • vision detector

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