Evaluation of grid-map sensor fusion mapping algorithms

Keren Kapach, Yael Edan

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

3 Scopus citations

Abstract

This paper presents a thorough evaluation of grid map based sensor fusion algorithms for mapping the environment of a mobile robot. Three physical sensors were used for creating the grid maps: a CCD camera, a set of ultrasonic sensors and a laser rangefinder. An adaptive fuzzy logic algorithm was compared to three logical sensor fusion algorithms. Results indicate the superiority of the adaptive fuzzy logic algorithm with a 0.075 confidence level.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages829-834
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: 7 Oct 200710 Oct 2007

Publication series

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

Conference

Conference2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/TerritoryCanada
CityMontreal, QC
Period7/10/0710/10/07

ASJC Scopus subject areas

  • General Engineering

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