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      협수로에서의 해기사 인식 기반 선박 안전영역 실용화를 위한 개선 연구 = Enhanced Study on the Practical Application of Seafarers' Awareness-Based Ship Domain in Narrow Water

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      https://www.riss.kr/link?id=A109683520

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      다국어 초록 (Multilingual Abstract)

      This study aims to develop an algorithm that enhances the seafarers' awareness-based ship domain model by dynamically rotating the elliptical ship domain according to the target ship's bearing in a restricted area. Existing research assumes a fixed ship domain; however, realistic navigation scenarios require a model that dynamically transforms according to the relative position and bearing of surrounding vessels. To meet this requirement, the study defines the ship domain using an elliptical equation that incorporates the ship’s dimensions and applies a rotational transformation matrix to adjust the domain's orientation based on the target ship's bearing. To validate the proposed algorithm, positions of multiple target ships with varying bearings were tested, and the correctness of the ship domain rotation was analyzed. The results suggest that the developed model offers a more realistic collision avoidance area compared to conventional fixed ship domain models. This research enhances the precision of ship collision risk prediction and avoidance systems, with possible applications in maritime traffic management and autonomous ship collision avoidance algorithms.
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      This study aims to develop an algorithm that enhances the seafarers' awareness-based ship domain model by dynamically rotating the elliptical ship domain according to the target ship's bearing in a restricted area. Existing research assumes a fixed sh...

      This study aims to develop an algorithm that enhances the seafarers' awareness-based ship domain model by dynamically rotating the elliptical ship domain according to the target ship's bearing in a restricted area. Existing research assumes a fixed ship domain; however, realistic navigation scenarios require a model that dynamically transforms according to the relative position and bearing of surrounding vessels. To meet this requirement, the study defines the ship domain using an elliptical equation that incorporates the ship’s dimensions and applies a rotational transformation matrix to adjust the domain's orientation based on the target ship's bearing. To validate the proposed algorithm, positions of multiple target ships with varying bearings were tested, and the correctness of the ship domain rotation was analyzed. The results suggest that the developed model offers a more realistic collision avoidance area compared to conventional fixed ship domain models. This research enhances the precision of ship collision risk prediction and avoidance systems, with possible applications in maritime traffic management and autonomous ship collision avoidance algorithms.

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