A Rapid Planning Repair Method of Three-Dimensional Path for AUV

Changting Shi, Dongdong Tao, Haibo Liu, Jinlong Bai
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Abstract

In response to the local path planning issue encountered by Autonomous Underwater Vehicle (AUV) during autonomous navigation when facing sudden threats or obstacles, a rapid path planning repair solution based on the IRRT*-VSRP method is proposed in this paper. This method combines an enhanced RRT* algorithm with a threat-based variable step-size receding horizon predictive strategy, effectively reducing the search space in three-dimensional environments. Its notable features include rapid local path repair and generation, thereby improving the success rate and efficiency of planning. Simulation results demonstrate that the IRRT*-VSRP algorithm significantly reduces the time required for planning repair and enhances the directionality of tree expansion, rendering it suitable for complex underwater three-dimensional environments and enhancing the efficiency of AUV planning repair.

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自动潜航器三维路径快速规划修复方法
针对自主水下航行器(AUV)在自主导航过程中面临突发威胁或障碍物时遇到的局部路径规划问题,本文提出了一种基于 IRRT*-VSRP 方法的快速路径规划修复方案。该方法将增强型 RRT* 算法与基于威胁的可变步长后退地平线预测策略相结合,有效地缩小了三维环境下的搜索空间。其显著特点包括快速修复和生成局部路径,从而提高了规划的成功率和效率。仿真结果表明,IRRT*-VSRP 算法大大缩短了规划修复所需的时间,并增强了树扩展的方向性,使其适用于复杂的水下三维环境,提高了 AUV 规划修复的效率。
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