A Bayesian approach for image-based underwater target tracking and navigation
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Date
2007
Authors
Muhammad Asif
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Abstract
Undersea inspections and surveys are important requirements for offshore industry and mining organisation for various infra-structures installations. During the last decade, the use of underwater structure installations, such as oil or gas pipeline and telecommunication cables has increased many folds. Routine inspections are essential for preventive measures. Current method for the inspection and maintenance of underwater structures adopt video camera or vision sensor mounted on an autonomous underwater vehicle. Various vision based underwater inspection algorithm have been proposed worldwide. However, most of them have inadequate performance on complex marine environments using vision. The main objective of this research work is to implement a vision system capable of carrying out visually guided task using an AUV, and provide the necessary functionality for tracking underwater pipeline or cables in an image sequences.
Description
Master
Keywords
science mathematics , Bayesian approach , image-based underwater , target tracking , navigation