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Subsea cable tracking by an unmanned surface vehicle

机译:无人地面车辆跟踪海底电缆

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摘要

© 2015 Society for Underwater Technology. All Rights reserved. Subsea cable localisation is a demanding task that requires a lot of time, effort and expense. In the present paper the authors propose a methodology that is automated and inexpensive, based on magnetic detection from a small unmanned surface vehicle (USV) and the use of a batch particle filter (BPF) algorithm. A dynamic path planning algorithm for the USV is also developed so that adequate samples of the magnetic field readings can be gathered for processing by the BPF. All of these elements work together online as the cable is tracked, which was demonstrated in a simulated mission.
机译:©2015水下技术学会。版权所有。海底电缆的本​​地化是一项艰巨的任务,需要大量的时间,精力和费用。在本文中,作者提出了一种自动且廉价的方法,该方法基于对小型无人水面载具(USV)的磁检测,并使用批处理粒子过滤器(BPF)算法。还开发了一种用于USV的动态路径规划算法,以便可以收集足够的磁场读数样本以供BPF处理。在跟踪电缆时,所有这些元素都可以在线协同工作,这在模拟任务中得到了证明。

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