Ultrasonic sensor data fusion for environment recognition

Kai-Tai Song*, Charles C. Chang

*Corresponding author for this work

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

To move in an unknown or uncertain environment, a mobile robot must take observations from many different sensors for providing information to build a representation of the external world. Ultrasonic sensors can provide range data easily; but they are not sufficient for environment recognition due to its large beam opening angle. In this article, the beam-opening angle problem of ultrasonic range sensor is solved by using artificial neural networks to fuse multiple ultrasonic sensors. On the other hand, a mathematical model about the same problem was also derived. Both simulation and experimental results of scanning images are presented. The line extractor of 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.

原文English
主出版物標題1993 International Conference on Intelligent Robots and Systems
編輯 Anon
發行者Publ by IEEE
頁面384-390
頁數7
ISBN(列印)0780308239
DOIs
出版狀態Published - 1 十二月 1993
事件Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems - Yokohama, Jpn
持續時間: 26 七月 199330 七月 1993

出版系列

名字1993 International Conference on Intelligent Robots and Systems

Conference

ConferenceProceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems
城市Yokohama, Jpn
期間26/07/9330/07/93

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