Adaptive fuzzy logic algorithm for grid-map based sensor fusion

Ofir Cohen, Yael Edan

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations


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


Conference2004 IEEE Intelligent Vehicles Symposium

ASJC Scopus subject areas

  • Modeling and Simulation
  • Automotive Engineering
  • Computer Science Applications


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