Experimental evaluation of an urban visual path following framework

  • Albert Diosi*
  • , Anthony Remazeilles
  • , Siniša Šegvić
  • , François Chaumette
  • *Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Robot cars will likely play an important role in the future. In this paper a visual path following framework for urban environments is experimentally evaluated. The framework's hybrid topological-metric approach for representing the environment provides stable interest points for image-based visual servoing during navigation. The presented experimental results with a robot car show that the framework is robust against changing illumination and moving objects covering up parts of the field of view of the monocular camera. Furthermore, there is no need to perform bundle adjustment nor to useodometry.

Original languageEnglish
Title of host publication6th IFAC Symposium on Intelligent Autonomous Vehicles, IAV 200707 - Proceedings
PublisherIFAC Secretariat
Pages288-293
Number of pages6
EditionPART 1
ISBN (Print)9783902661654
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume6
ISSN (Print)1474-6670

Keywords

  • Mobile robots
  • Robot vision
  • Tracking applications

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