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Published in:
2015 | OriginalPaper | Chapter
A Positioning System Based on Monocular Vision for Model Ship
Authors : Shuo Xie, Chenguang Liu, Xiumin Chu, Xue Ouyang
Published in: Computational Logistics
Publisher: Springer International Publishing
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High precision positioning for a ship is important during logistics automation on water. This paper has proposed a positioning system of model ship based on monocular vision. Firstly an image of the experiment pool can be obtained by the camera on shore before the image is filtered and corrected in the preprocessing. Then the system uses binarization area and color threshold to identify a ship target. Finally ship real-time information which includes position, navigation speed and course can be obtained by transforming the image coordinate into the inertial coordinate, and the ship track will be displayed on the positioning software at the same time. Experimental results show that real-time and positioning precision of this system can meet automatic navigation demand for model ship.