Adaptive fuzzy logic algorithm for grid-map based sensor fusion

Ofir Cohen, Yael Edan

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations

Abstract

This paper presents an adaptive fuzzy logic algorithm for sensor fusion related to mapping the environment. The proposed algorithm deals with unknown a-priori sensory distributions and with asynchronous update of the sensors. Feedback is calculated every time each logical sensor sends new data and is used to measure on-line the logical sensors performances. Analysis in an indoor mobile robot experiment indicated superior performance of the adaptive fuzzy logic algorithm when compared to three other sensor fusion algorithms.

Original languageEnglish
Pages625-630
Number of pages6
StatePublished - 27 Sep 2004
Event2004 IEEE Intelligent Vehicles Symposium - Parma, Italy
Duration: 14 Jun 200417 Jun 2004

Conference

Conference2004 IEEE Intelligent Vehicles Symposium
Country/TerritoryItaly
CityParma
Period14/06/0417/06/04

Fingerprint

Dive into the research topics of 'Adaptive fuzzy logic algorithm for grid-map based sensor fusion'. Together they form a unique fingerprint.

Cite this