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Cooperative robotic networks for underwater surveillance: an overview

机译:水下监视协作机器人网络:概述

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摘要

Underwater surveillance has traditionally been carried out by means of surface and undersea manned vessels equipped with advanced sensor systems. This approach is often costly and manpower intensive. Marine robotics is an emerging technological area that enables the development of advanced networks for underwater surveillance applications. In contrast with the use of standard assets, these advanced networks are typically composed of small, low-power, and possibly mobile robots, which have limited endurance, processing and wireless communication capabilities. When deployed in a region of interest, these robots can cooperatively form an intelligent network achieving high performance with significant features of scalability, adaptability, robustness, persistence and reliability. Such networks of robots can be the enabling technology for a wide range of applications in the maritime domain. However, they also introduce new challenges for underwater distributed sensing, data processing and analysis, autonomy and communications. The main thrust of this study is to review the underwater surveillance scenario within a framework of four research areas: (i) underwater robotics, (ii) acoustic signal processing, (iii) tracking and distributed information fusion, and (iv) underwater communications networks. Progress in each of these areas as well as future challenges is presented.
机译:传统上,水下监视是通过配备先进传感器系统的水面和水下有人驾驶船来进行的。这种方法通常成本高昂且需要大量人力。海洋机器人技术是一个新兴的技术领域,可为水下监视应用开发高级网络。与标准资产的使用相反,这些高级网络通常由小型,低功率的移动机器人组成,这些机器人的耐用性,处理能力和无线通信能力有限。这些机器人在感兴趣的区域中部署时,可以协作形成具有高性能的智能网络,并具有可扩展性,适应性,鲁棒性,持久性和可靠性等重要功能。这种机器人网络可以成为海域广泛应用的使能技术。但是,它们也给水下分布式传感,数据处理和分析,自治和通信带来了新的挑战。这项研究的主要目的是在四个研究领域的框架内回顾水下监视场景:(i)水下机器人技术,(ii)声信号处理,(iii)跟踪和分布式信息融合,以及(iv)水下通信网络。介绍了这些领域中每个领域的进展以及未来的挑战。

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