Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/54609
| Citations | ||
| Scopus | Web of Science® | Altmetric |
|---|---|---|
|
?
|
?
|
|
| Type: | Conference paper |
| Title: | Automatic object detection and diagnosis for AUV oeration using underwater imaging sonar |
| Author: | Zhao, S. Anvar, A. Lu, T. |
| Citation: | Proceedings of the 3rd IEEE Conference on Industrial Electronics and Applications, 2008: pp. 1906-1911 |
| Publisher: | IEEE |
| Publisher Place: | USA |
| Issue Date: | 2008 |
| Series/Report no.: | IEEE Conference on Industrial Electronics and Applications |
| ISBN: | 9781424417179 |
| Conference Name: | IEEE Conference on Industrial Electronics and Applications (3rd : 2008 : Singapore) |
| Statement of Responsibility: | Shi Zhao, Amir Anvar and Tien-Fu Lu |
| Abstract: | This paper presents the development of underwater sonar imaging to support the command, control and navigation of an AUV within a shallow milky-water environment. The aim of this study was to test an innovative methodology which uses underwater imaging sonar to detect underwater objects surrounding the AUV and determine their locations and movement including motion directions and speeds relative to the AUV. Several underwater laboratory based trials have been conducted. The successful result shows the presented methodology is promising. |
| DOI: | 10.1109/ICIEA.2008.4582851 |
| Published version: | http://dx.doi.org/10.1109/iciea.2008.4582851 |
| Appears in Collections: | Aurora harvest Mechanical Engineering conference papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.