Khan, A. and Ali, S.S.A. and Malik, A.S. and Anwer, A. and Hussain, N.A.A. and Meriaudeau, F. (2017) Control of autonomous underwater vehicle based on visual feedback for pipeline inspection. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016.
Full text not available from this repository.Abstract
For everyday inspection jobs in offshore oil and gas industry, the human divers are being replaced by underwater vehicles. This paper proposes a visual feedback based control of an autonomous underwater vehicle for pipeline inspection. The hydrodynamic disturbances in water severely affect the movement of the vehicle resulting in performance degrading. The heading of the autonomous underwater vehicle under such disturbances is controlled using visual feedback to track the pipeline for inspection. The proposed method does not demand expensive position feedback devices such as underwater acoustic positioning system. By using built-in camera of the vehicle and few image processing techniques a simpler, easier and low-cost solution is proposed. The performance evaluation of the proposed technique on sample underwater images is also presented. © 2016 IEEE.
Item Type: | Article |
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Impact Factor: | cited By 1 |
Departments / MOR / COE: | Centre of Excellence > Center for Intelligent Signal and Imaging Research |
Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
Date Deposited: | 22 Apr 2018 14:42 |
Last Modified: | 22 Apr 2018 14:42 |
URI: | http://scholars.utp.edu.my/id/eprint/20139 |