• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.65-72
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• 2011

In this paper, a real-time monocular vision based navigation system is developed for the disabled people, where online background learning and vector field histogram are used for identifying obstacles and recognizing avoidable paths. The proposed system is performed by three steps: obstacle classification, occupancy grid map generation and VFH-based path recommendation. Firstly, the obstacles are discriminated from images by subtracting with background model which is learned in real time. Thereafter, based on the classification results, an occupancy map sized at $32{\times}24$ is produced, each cell of which represents its own risk by 10 gray levels. Finally, the polar histogram is drawn from the occupancy map, then the sectors corresponding to the valley are chosen as safe paths. To assess the effectiveness of the proposed system, it was tested with a variety of obstacles at indoors and outdoors, then it showed the a'ccuracy of 88%. Moreover, it showed the superior performance when comparing with sensor based navigation systems, which proved the feasibility of the proposed system in using assistive devices of disabled people.

• Journal of Navigation and Port Research
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• v.31 no.6
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• pp.497-502
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• 2007

The important purposes of research in ship operation are to ensure safe navigation, high efficiency of transportation, high accuracy, and security. IMO, develops a broad strategy for incorporating the use of new technologies in a structured way to ensure that their use is compliant with the various electronic navigational and communication technologies and services that are already available. As a base research for E-Navigation, therefore, this paper proposes a maritime information network based on Mesh Network that is one of the maritime broadband solutions. Firstly, this paper analyzes an international port network system and the requirements of port network for E-Navigation. Finally, it designs the maritime information network system based on Mesh Network and shows its validity for E-Navigation.