Title :
Ultrasonic sensor data fusion for environment recognition
Author :
Song, Kai-Tai ; Chang, Charles C.
Author_Institution :
Inst. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
The beam-opening angle problem of an ultrasonic range sensor is solved by using artificial neural networks to fuse multiple ultrasonic sensors. A mathematical model about the same problem is also derived. Both simulation and experimental results of scanning images are presented. The line extractor of the sensor image is developed by using the regression model with a little modification. The simulation results show this method is useful for environment recognition of robotic systems
Keywords :
sensor fusion; artificial neural networks; beam-opening angle problem; environment recognition; line extractor; regression model; robotic systems; scanning images; ultrasonic range sensor; ultrasonic sensor data fusion; Artificial neural networks; Control engineering; Fuses; Image sensors; Mathematical model; Mobile robots; Neural networks; Robot sensing systems; Sensor fusion; Ultrasonic transducers;
Conference_Titel :
Intelligent Robots and Systems '93, IROS '93. Proceedings of the 1993 IEEE/RSJ International Conference on
Conference_Location :
Yokohama
Print_ISBN :
0-7803-0823-9
DOI :
10.1109/IROS.1993.583126
