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Intelligent Ship-Bridge Collision Avoidance Based on A modified Gaussian Mixture Model

Author(s): Yuanzhou Zheng | Fenfen Yu | Wentao Zhang

Journal: Scientific Journal of Information Engineering
ISSN 2167-0218

Volume: 2;
Issue: 5;
Start page: 121;
Date: 2012;
Original page

Keywords: Moving Target Detection | GMM Arithmetic Operators | Visual Geometric Model | Ship Dynamic Monitoring

Faced with increasingly serious security situation in bridge area, a moving ship target detection and tracking method based on the complex background of the bridge area is presented. The background model is based on a modified Gaussian Mixture Model. The algorithm upgrades the background model in real time,Foreground area is extracted by adaptive threshold method by marking each moving region in the binary image, the geometrical features parameters such as width, height, centroid position and speed can be extracted, which lay the foundation for the analysis and track of moving. Ship motion situation calculation module is based on visual geometry model, and calculates the movement state information of target ship’s position in space coordinate, ship’s size, speed, and heading etc. Collision risk prediction and collision avoidance maneuvering decision-making module are combined with ship real-time motion state information, introducing the collision risk to rank term, early warning and collision avoidance maneuvering decision-making. Through calculation of ship maneuvering and collision avoidance related distance parameter of bridge area, collision risk to rank terminology is introduced, and rationalization collision avoidance decisions are formed. Thus, it reaches the ship-bridge collision avoidance warning and precontrolling effect. Experimental results show that the proposed method is robust, real-time and accurate.
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RPA Switzerland

Robotic process automation


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Tangokurs Rapperswil-Jona