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Long-Term Accuracy in Sea Navigation without using GNSS Systems

Lager, Mårten LU ; Topp, Elin Anna LU and Malec, Jacek LU (2017) 30th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2017)

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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
10 pages
conference name
30th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2017)<br/><br/>
conference location
Karlskrona, Sweden
conference dates
2017-05-15 - 2017-05-16
language
English
LU publication?
yes
id
b0df8124-7e04-405b-9485-c2b36b2ba000
alternative location
http://www.ep.liu.se/ecp/137/001/ecp17137001.pdf
date added to LUP
2019-02-08 11:11:33
date last changed
2019-02-12 11:22:16
@misc{b0df8124-7e04-405b-9485-c2b36b2ba000,
  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<br/>field measurements.},
  author       = {Lager, Mårten and Topp, Elin Anna and Malec, Jacek},
  language     = {eng},
  location     = {Karlskrona, Sweden},
  month        = {07},
  pages        = {10},
  title        = {Long-Term Accuracy in Sea Navigation without using GNSS Systems},
  year         = {2017},
}