Robust visual tracking control of a nonholonomic mobile robot with depth-based camshift

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Abstract

This paper mainly addresses the problem of tracking a moving target for a nonholonomic mobile robot equipped with an on-board camera. A visual tracking control system consisting of a robust visual tracking algorithm and a robust visual tracking controller is developed. The proposed visual tracking algorithm, namely the depth-based Camshift, possesses robustness against partial occlusion, image noise, deformation and similar-colored objects. Supplied with direct measurements from visual tacking, a robust controller is developed based on the idea of feedback linearization and sliding mode techniques to decouple relative motion equation in kinematic level and overcome unknown motion of the target. Simulation studies and experiments are conducted then to verify the performance of proposed controller and the whole mobile robot tracking scheme.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages815-821
Number of pages7
ISBN (Electronic)9789881563972
DOIs
StatePublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Depth-based Camshift
  • Mobile Robots
  • Visual Servo
  • Visual Tracking Control

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