Abstract
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Article Information:
A Novel Ship-Bridge Collision Avoidance System Based on Monocular Computer Vision
Yuanzhou Zheng, Weiguo Wu, Haixiang Xu, Langxiong Gan and Jingang Yu
Corresponding Author: Yuanzhou Zheng
Submitted: September 03, 2012
Accepted: October 05, 2012
Published: June 20, 2013 |
Abstract:
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The study aims to investigate the ship-bridge collision avoidance. A novel system for ship-bridge collision avoidance based on monocular computer vision is proposed in this study. In the new system, the moving ships are firstly captured by the video sequences. Then the detection and tracking of the moving objects have been done to identify the regions in the scene that correspond to the video sequences. Secondly, the quantity description of the dynamic states of the moving objects in the geographical coordinate system, including the location, velocity, orientation, etc, has been calculated based on the monocular vision geometry. Finally, the collision risk is evaluated and consequently the ship manipulation commands are suggested, aiming to avoid the potential collision. Both computer simulation and field experiments have been implemented to validate the proposed system. The analysis results have shown the effectiveness of the proposed system.
Key words: Monocular vision, moving object detection and tracking, ship-bridge collision , , , ,
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Abstract
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Cite this Reference:
Yuanzhou Zheng, Weiguo Wu, Haixiang Xu, Langxiong Gan and Jingang Yu, . A Novel Ship-Bridge Collision Avoidance System Based on Monocular Computer Vision. Research Journal of Applied Sciences, Engineering and Technology, (04): 647-653.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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