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This paper introduces an enhanced A* algorithm for autonomous navigation in model sail boats. The algorithm incorporates wind conditions, including direction, intensity, and turbulence, into the path planning process. The results demonstrate its effectiveness in achieving optimized paths, considering factors such as speed and efficiency. This research contributes to the development of adaptive and optimized path planning strategies for model sail boats in dynamic environments.

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Enhancing the A* Algorithm for Autonomous Navigation in Model Sail Boats: Optimizing Path Planning Under Variable Wind Conditions

  • 会议论文

  • 发表日期：

    2025年

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  • Grégory Witmer,
  • Rolf Dornberger,
  • Thomas Hanne

摘要

This paper introduces an enhanced A* algorithm for autonomous navigation in model sail boats. The algorithm incorporates wind conditions, including direction, intensity, and turbulence, into the path planning process. The results demonstrate its effectiveness in achieving optimized paths, considering factors such as speed and efficiency. This research contributes to the development of adaptive and optimized path planning strategies for model sail boats in dynamic environments.