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2013 (Vol. 6, Issue: 04)
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 

Key words:  Monocular vision, moving object detection and tracking, ship-bridge collision , , , ,
Vol. 6 , (04): 647-653
Submitted Accepted Published
September 03, 2012 October 05, 2012 June 20, 2013
Abstract:

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.
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  Cite this Reference:
Yuanzhou Zheng, Weiguo Wu, Haixiang Xu, Langxiong Gan and Jingang Yu, 2013. A Novel Ship-Bridge Collision Avoidance System Based on Monocular Computer Vision.  Research Journal of Applied Sciences, Engineering and Technology, 6(04): 647-653.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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