DocumentCode :
376386
Title :
Experiments on machine learning techniques for sensor fusion
Author :
Faceli, Katti ; De Carvalho, André C P L F ; Rezende, Solange O.
Author_Institution :
Departamento de Cincias de Computao a Estatstica, Instituto de Cincias Matematicas a de Computao, Sao Carlos, Brazil
fYear :
2001
fDate :
2001
Firstpage :
395
Lastpage :
399
Abstract :
Mobile robots rely on sensor data to have a representation of their environment. However the sensors usually provide incomplete, inconsistent or inaccurate information. Sensor fusion has been successfully employed to enhance the accuracy of sensor measures. This article proposes and investigates the use of artificial intelligence techniques for sensor fusion to improve the accuracy and reliability of a distance between a robot and an object in its work environment
Keywords :
learning (artificial intelligence); mean square error methods; mobile robots; sensor fusion; artificial intelligence; autonomous mobile robots; machine learning; mobile robots; sensor fusion; sensorial information; Machine learning; Robots; Sensor fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2001. ICCIMA 2001. Proceedings. Fourth International Conference on
Conference_Location :
Yokusika City
Print_ISBN :
0-7695-1312-3
Type :
conf
DOI :
10.1109/ICCIMA.2001.970502
Filename :
970502
Link To Document :
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