Projects per year
Abstract
Many ships today rely on Global Navigation Satellite System (GNSS), for their navigation, where GPS (Global Positioning System) is the most well known. Unfortunately, the GNSS systems make the ships dependent on external systems, which can be malfunctioning, be jammed or be spoofed. There are today some proposed techniques where, e.g. bottom depth measurements are compared with known maps using Bayesian calculations, which results in a position estimation. Both maps and navigational sensor equipment are used in these techniques , most often relying on high accuracy maps, with the accuracy of the navigational sensors being less important. Instead of relying on high accuracy maps and low accuracy navigation sensors, this paper presents an idea of the opposite, namely using low accuracy maps, but compensating this by using high accuracy navigational sensors and fusing data from both bottom depth measurements and magnetic
field measurements.
field measurements.
Original language | English |
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Number of pages | 10 |
Publication status | Published - 2017 Jul 1 |
Event | 30th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2017) - Blekinge Tekniska Högskola, Karlskrona, Sweden Duration: 2017 May 15 → 2017 May 16 |
Conference
Conference | 30th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2017) |
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Country/Territory | Sweden |
City | Karlskrona |
Period | 2017/05/15 → 2017/05/16 |
Subject classification (UKÄ)
- Computer Science
Fingerprint
Dive into the research topics of 'Long-Term Accuracy in Sea Navigation without using GNSS Systems'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Digital Cognitive Companion for Marine Vessels
Lager, M. (PI), Malec, J. (Supervisor) & Topp, E. A. (Supervisor)
2016/01/01 → 2020/10/01
Project: Dissertation
Activities
- 1 Member of external research organisation
-
WASP Affiliated Faculty
Topp, E. A. (Member)
2021 Feb → …Activity: Consultancy, expert advice and memberships › Member of external research organisation