Adelaide Research & Scholarship
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https://hdl.handle.net/2440/63021
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| Type: | Conference paper |
| Title: | Multiple obstacles detection using fuzzy interface system for AUV navigation in natural water |
| Author: | Zhao, S. Lu, T. Anvar, A. |
| Citation: | Proceedings of the 5th IEEE Conference on Industrial Electronics and Applications (ICIEA 2010), 2010: pp.50-55 |
| Publisher: | IEEE |
| Publisher Place: | USA |
| Issue Date: | 2010 |
| Series/Report no.: | IEEE Conference on Industrial Electronics and Applications |
| ISBN: | 9781424450466 |
| ISSN: | 2156-2318 |
| Conference Name: | IEEE Conference on Industrial Electronics and Applications (5th : 2010 : Taichung, Taiwan) |
| Statement of Responsibility: | Shi Zhao, Tien-Fu Lu and Amir Anvar |
| Abstract: | The detection of small moving targets, such as hazardous objects, is a challenging problem for sonar surveillance used by maritime robots’ navigation in shallow water. This phenomenon is due to the ambient sea noise and reverberation. This paper presents a fuzzy algorithm to automate detection of underwater multiple objects using Mechanical Scanned Imaging Sonar (MSIS). Returned sound waves were evaluated by a fuzzy interface system (FIS). Two parameters: the Pulse length and Maximum intensity are selected as linguistic variables for the fuzzy system. The data used in this paper were collected in a natural river which is about 3 meters depth. Results demonstrate good, reliable and fast performances of the proposed algorithm. |
| Keywords: | imaging sonar target detection FIS AUV |
| Rights: | Copyright 2010 IEEE |
| DOI: | 10.1109/ICIEA.2010.5515001 |
| Appears in Collections: | Aurora harvest 5 Electrical and Electronic Engineering publications |
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