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