DocumentCode :
2346997
Title :
Automatic object detection and diagnosis for AUV operation using underwater imaging sonar
Author :
Zhao, Shi ; Anvar, Amir ; Lu, Tien-Fu
Author_Institution :
Sch. of Mech. Eng., Univ. of Adelaide, Adelaide, SA
fYear :
2008
fDate :
3-5 June 2008
Firstpage :
1906
Lastpage :
1911
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.
Keywords :
object detection; sonar imaging; underwater vehicles; AUV operation; automatic object detection; shallow milky-water environment; underwater imaging sonar; Object detection; Oceans; Pollution measurement; Remotely operated vehicles; Sea measurements; Simultaneous localization and mapping; Sonar detection; Sonar navigation; Space exploration; Underwater vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
Type :
conf
DOI :
10.1109/ICIEA.2008.4582851
Filename :
4582851
Link To Document :
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