Conference Proceeding

Experiments on machine learning techniques for sensor fusion

Departamento de Cincias de Computao a Estatstica, Instituto de Cincias Matematicas a de Computao, Sao Carlos
02/2001; DOI:10.1109/ICCIMA.2001.970502 ISBN: 0-7695-1312-3 pp.395 - 399 In proceeding of: Computational Intelligence and Multimedia Applications, 2001. ICCIMA 2001. Proceedings. Fourth International Conference on
Source: IEEE Xplore

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

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Keywords

inaccurate information
 
incomplete
 
Mobile robots
 
reliability
 
robot
 
sensor data
 
Sensor fusion
 
sensor measures
 
sensors
 
work environment