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Autonomous homing and docking for AUVs using Range-Only Localization and Light Beacons

机译:AUV的自动归位和对接,仅使用范围定位和光信标

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Abstract: This paper proposes a method for homing and docking an Autonomous Underwater Vehicle (AUV) to a subsea Docking station (DS) by combining acoustic and optical sensing. The AUV is assumed to be within acoustic ranging distance to the DS, whose location is otherwise unknown a priori . The homing and docking procedure comprises two stages. In the first stage, a Sum of Gaussian (SoG) filter is used to estimate the DS location while the AUV is guided along an observable trajectory. Once the DS position becomes known, the vehicle performs a homing maneuver to bring it within visual reach of the DS. In the second stage, a light beacon navigation system is used to estimate the DS pose with respect to the AUV. Visual information is used to update to a Simultaneous Localization And Mapping (SLAM) filter providing an AUV-pose estimate with the accuracy required for the docking maneuver. The feasibility and performance of the method is evaluated through Hardware-in-the-loop (HIL) simulation. The novelty and impact of the proposed approach lies in the complementarity of the two sensing modalities, which have not been yet demonstrated for AUV docking.
机译:摘要:本文提出了一种结合声光传感技术将自动水下航行器(AUV)归巢和对接至海底对接站(DS)的方法。假定AUV在距DS的声音测距范围内,否则其先验位置未知。归巢和对接过程包括两个阶段。在第一阶段中,高斯和(SoG)滤波器用于估计DS位置,而AUV则沿着可观察的轨迹进行引导。一旦知道了DS的位置,车辆就会执行归位操作,以使其进入DS的可视范围内。在第二阶段中,使用信标导航系统来估计相对于AUV的DS姿态。视觉信息用于更新到同时定位和映射(SLAM)过滤器,以对接操作所需的精度提供AUV姿态估计。通过硬件在环(HIL)仿真评估了该方法的可行性和性能。所提出的方法的新颖性和影响在于两种传感方式的互补性,这尚未在AUV对接中得到证明。

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