Extended Abstract: Intelligent Position Anchoring for Collaborative Unmanned Surface-Aerial Vehicle

M. H. Nordin, S. Rajendran, Sanjay K. Sharma, Asiya Khan, M. Gianni, R. Sutton
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Abstract

The collaboration of Unmanned Surface Vehicle (USV) and Unmanned Aerial Vehicle (UAV) for offshore inspections heavily depends on a relative localization system. For inspection data, it needs to be tied to an absolute coordinate of an offshore asset. The missing of an absolute coordinate system for inspection data related to the offshore asset may cause future monitoring or repair works to become tedious and time-consuming since precise locations are unknown. An approach to identify the origin of an absolute coordinate based on intelligent object recognition is proposed. However, ongoing works are still in progress and the results in terms of the performance and reliability of the proposed approach have not yet been established. Nevertheless, further strategies for anchoring the USV and UAV to an offshore asset have been discussed in this paper.
扩展摘要:协同无人机的智能位置锚定
无人水面航行器(USV)和无人飞行器(UAV)在海上检查中的协同工作在很大程度上依赖于相对定位系统。对于检测数据,需要将其绑定到海上资产的绝对坐标。由于无法确定海上资产的精确位置,因此缺少用于检测数据的绝对坐标系统可能会导致未来的监测或维修工作变得繁琐和耗时。提出了一种基于智能目标识别的绝对坐标原点识别方法。但是,正在进行的工作仍在进行中,拟议方法的性能和可靠性方面的结果尚未确定。然而,本文讨论了将USV和无人机锚定在海上资产上的进一步策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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