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Underway path-planning for an unmanned surface vehicle performing cooperative navigation for UUVs at varying depths

机译:无人机在不同深度对UUV进行协同导航的路径规划

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This paper reports on the optimized path-planning for an unmanned surface vehicle (USV) serving as a communication and navigation aid (CNA) for multiple unmanned underwater vehicles (UUV) performing surveys. This path-planning can occur prior to the survey (pre-deployment mode) based on the original planned paths for the survey UUVs or during the survey (underway mode) using in situ UUV positions reported acoustically by the survey UUVs. The underway mode has the advantage of integrating the actual UUV paths which may differ from the planned ones due to currents, re-planned missions, etc. This planner considers the relative depth of the CNA and survey UUVs, allowing the CNA to effectively aid survey UUVs in maintaining altitude over the sea floor, as is done in some UUV surveys. Results are presented from simulations and in-water validation trials for both path-planning modes. The underway planning mode is preferred since it adapts to changes in the survey UUV path during the mission. The advantage of bounding the distance between the CNA and any survey UUV to limit the survey UUVs' position error is also highlighted.
机译:本文报告了无人水面飞行器(USV)的优化路径规划,该飞行器可作为执行勘测的多辆无人水下航行器(UUV)的通信和导航辅助(CNA)。此路径规划可以在调查之前(基于部署UUV的原始计划路径)在调查之前(部署前模式)进行,也可以在调查期间(进行中的模式)使用调查UUV声学报告的原地UUV位置进行。进行中模式的优点是可以整合实际的UUV路径,该路径可能由于潮流,重新计划的任务等而与计划的路径不同。该计划者考虑了CNA的相对深度并调查了UUV,从而使CNA可以有效地协助调查UUV会像一些UUV调查中所做的那样,保持海床上方的高度。两种路径规划模式的仿真结果和水下验证试验都给出了结果。首选行进计划模式,因为它可以适应任务期间勘测UUV路径的变化。还强调了限制CNA与任何调查UUV之间的距离以限制调查UUV的位置误差的优势。

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