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Real-time feature-based 3D map reconstruction for stereo visual guidance and control of mobile robots in indoor environments

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

9 Scopus citations

Abstract

The paper deals with 3D map reconstruction for real-time stereo visual guidance and control of mobile robots in indoor hallway environments. The proposed stereo vision system is capable of reconstructing 3D map based on observed geometrical features without a priori knowledge on the environments. Specifically, detected edge features in binocular images are processed in Hough space for matching correspondence before 3D reconstruction. The generated 3D map can be effectively updated using visual tracking techniques for matched features together with correspondence matching algorithms for newly-observed features. Due to the fact that visual tracking is employed to assist maintaining correspondence information and reduce redundant computation, the proposed system can be operated in real time.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages5386-5391
Number of pages6
DOIs
StatePublished - 2004
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 10 Oct 200413 Oct 2004

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume6
ISSN (Print)1062-922X

Conference

Conference2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Country/TerritoryNetherlands
CityThe Hague
Period10/10/0413/10/04

Keywords

  • 3D map reconstruction
  • Mobile robots
  • Stereo vision
  • Visual guidance
  • Visual tracking

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