Review of pose estimation within European ship-automation projects using GNSS-based navigation

Author:

Liu Shuchen1,Gehrt Jan-Jöran1,Abel Dirk1

Affiliation:

1. Institute of Automatic Control at 9165 RWTH Aachen University , Aachen , Germany

Abstract

Abstract Accurate and reliable navigation systems are necessary to deploy autonomous shipping. For this purpose, georeferenced vehicle-pose information is often generated using sensor data fusion consisting of GNSS data, inertial measurement, and other applicable aiding sensors. This technical overview summarizes current European projects and international work in the field of GNSS-based maritime navigation and introduces and discusses the sensors and methods involved. The review focuses on approaches with proprioceptive sensor technology. Therefore, as a limitation, environment sensing algorithms (e. g., SLAM) are explicitly not included. It is concluded that highly accurate and reliable sensor fusion should include complementary and redundant onboard sensors, which are tightly coupled.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference47 articles.

1. International Maritime Organization (IMO). 2002. IMO Resolution A.915(22) Revised Maritime Policy and Requirements for a Future GNSS. Tech. Rep., IMO, London.

2. IMO. 2000. Performance Standards For Marine Transmitting Heading Devices (THDs). Tech. Rep., IMO, London.

3. Klepsvik, J. O., P. B. Ober and M. Baldauf. 2007. A Critical Look at the IMO Requirements for GNSS. In: Proc. of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), pp. 1931–1942.

4. Bolbot, V., G. Theotokatos, E. Boulougouris, L. Wennersberg, H. Nordahl, Ø. J. Rødseth, J. Faivre and M. M. Colella. 2020. Paving The Way Toward Autonomous Shipping Development for European Waters – The AUTOSHIP Project. In: Autonomous Ships, pp. 1–6.

5. Sandler, M., R. Ziebold, A. Hesselbarth, J. Alberding, M. Uhlemann and M. Hoppe. 2018. Verbundprojekt “Leit- und Assistenzsysteme zur Erhöhung der Sicherheit der Schifffahrt auf Inlandwasserstraßen” (LAESSI), Teilvorhaben: Landseitige Dienste und Datenübertragung: Schlussbericht. Tech. Rep., Wildau.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3