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 language | English |
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Pages | 625-630 |
Number of pages | 6 |
State | Published - 27 Sep 2004 |
Event | 2004 IEEE Intelligent Vehicles Symposium - Parma, Italy Duration: 14 Jun 2004 → 17 Jun 2004 |
Conference
Conference | 2004 IEEE Intelligent Vehicles Symposium |
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Country/Territory | Italy |
City | Parma |
Period | 14/06/04 → 17/06/04 |
ASJC Scopus subject areas
- Modeling and Simulation
- Automotive Engineering
- Computer Science Applications