Digital Cognitive Companions for Marine Vessels: On the Path Towards Autonomous Ships

Research output: ThesisDoctoral Thesis (compilation)

Abstract

As for the automotive industry, industry and academia are making extensive efforts to create autonomous ships. The solutions for this are very technology-intense. Many building blocks, often relying on AI technology, need to work together to create a complete system that is safe and reliable to use. Even when the ships are fully unmanned, humans are still foreseen to guide the ships when unknown situations arise. This will be done through teleoperation systems.

In this thesis, methods are presented to enhance the capability of two building blocks that are important for autonomous ships; a positioning system, and a system for teleoperation.

The positioning system has been constructed to not rely on the Global Positioning System (GPS), as this system can be jammed or spoofed. Instead, it uses Bayesian calculations to compare the bottom depth and magnetic field measurements with known sea charts and magnetic field maps, in order to estimate the position. State-of-the-art techniques for this method typically use high-resolution maps. The problem is that there are hardly any high-resolution terrain maps available in the world. Hence we present a method using standard sea-charts. We compensate for the lower accuracy by using other domains, such as magnetic field intensity and bearings to landmarks. Using data from a field trial, we showed that the fusion method using multiple domains was more robust than using only one domain.

In the second building block, we first investigated how 3D and VR approaches could support the remote operation of unmanned ships with a data connection with low throughput, by comparing respective graphical user interfaces (GUI) with a Baseline GUI following the currently applied interfaces in such contexts. Our findings show that both the 3D and VR approaches outperform the traditional approach significantly. We found the 3D GUI and VR GUI users to be better at reacting to potentially dangerous situations than the Baseline GUI users, and they could keep track of the surroundings more accurately. Building from this, we conducted a teleoperation user study using real-world data from a field-trial in the archipelago, where the users should assist the positioning system with bearings to landmarks. The users experienced the tool to give a good overview, and despite the connection with the low throughput, they managed through the GUI to significantly improve the positioning accuracy.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer and Information Science

Keywords

  • Unmanned Surface Vessel, Autonomous Surface Vessel, Positioning, Virtual Reality, Human Robot Interaction, Particle Filter, Teleoperation
Original languageEnglish
QualificationDoctor
Supervisors/Assistant supervisor
Thesis sponsors
  • Wallenberg AI, Autonomous Systems and Software Program (WASP)
Award date2021 Feb 12
Publisher
  • Computer Science, Lund University
Print ISBNs978-91-7895-608-1
Electronic ISBNs978-91-7895-609-8
Publication statusPublished - 2021 Jan 19
Publication categoryResearch

Bibliographic note

Defence details Date: 2021-02-12 Time: 14:15 Place: Lecture hall E:B, building E, Ole Römers väg 3, Faculty of Engineering LTH, Lund University, Lund. Zoom: https://lu-se.zoom.us/j/68539811341 External reviewer(s) Name: Christensen, Henrik I. Title: Prof. Affiliation: University of California, USA. ---

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Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Mårten Lager & Elin Anna Topp, 2019 Jul, (Accepted/In press) Proceedings of the Symposium on Intelligent Autonomous Vehicles 2019. IFAC

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