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Towards autonomous localization and mapping of AUVs: a survey

机译:对AUV的自主定位和映射:调查

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摘要

Purpose – The main purpose of this paper is to investigate two key elements of localization and mapping of Autonomous Underwater Vehicle (AUV), i.e. to overview various sensors and algorithms used for underwater localization and mapping, and to make suggestions for future research. Design/methodology/approach – The authors first review various sensors and algorithms used for AUVs in the terms of basic working principle, characters, their advantages and disadvantages. The statistical analysis is carried out by studying 35 AUV platforms according to the application circumstances of sensors and algorithms. Findings – As real-world applications have different requirements and specifications, it is necessary to select the most appropriate one by balancing various factors such as accuracy, cost, size, etc. Although highly accurate localization and mapping in an underwater environment is very difficult, more and more accurate and robust navigation solutions will be achieved with the development of both sensors and algorithms. Research limitations/implications – This paper provides an overview of the state of art underwater localisation and mapping algorithms and systems. No experiments are conducted for verification. Practical implications – The paper will give readers a clear guideline to find suitable underwater localisation and mapping algorithms and systems for their practical applications in hand. Social implications – There is a wide range of audiences who will benefit from reading this comprehensive survey of autonomous localisation and mapping of UAVs. Originality/value – The paper will provide useful information and suggestions to research students, engineers and scientists who work in the field of autonomous underwater vehicles. © 2013, Emerald Group Publishing Limited
机译:目的 - 本文的主要目的是调查自主水下车辆(AUV)定位和映射的两个关键要素,即概述用于水下本地化和映射的各种传感器和算法,并对未来研究提出建议。设计/方法/方法 - 作者首先在基本工作原理,角色,优势和缺点的条款中审查了用于AUV的各种传感器和算法。通过根据传感器和算法的应用情况研究35 AUV平台进行统计分析。结果 - 随着现实世界的应用具有不同的要求和规范,必须通过平衡各种因素(例如精度,成本,尺寸等)来选择最合适的。尽管在水下环境中的高度准确的本地化和映射非常困难,随着传感器和算法的开发,将实现越来越准确和强大的导航解决方案。研究限制/含义 - 本文概述了美术水下本地化和映射算法和系统的概述。没有进行实验进行验证。实际意义 - 本文将为读者提供明确的指南,以便在手中找到合适的水下本地化和映射算法和系统。社会影响 - 有广泛的观众,谁将受益于阅读对自治本地化和无人机的映射的全面调查。原创性/值 - 本文将提供有用的信息和建议,以研究在自治水下车领域工作的学生,工程师和科学家。 ©2013,Emerald Group Publishing Limited

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