Improving ship and cargo tracking with multi-source spatial data
The project will address the current shortcommings of AIS-based ship traching by fusing AIS and optical/radar satellite data ans develop advanced models for deriving new and more accurate information on ship and cargo tracking.
Project website: https://uit.no/project/shiptrack
Pål Gunnar Ellingsen is leading two of three work packages, while Roar Adland from SNF is the project principal investigator. As a part of the project, a new PhD student will be hired this year and a postdoctoral researcher next year at UiT in Narvik.
Project participants:
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Samfunns- og næringslivsforskning (SNF) ved Norges Handelshøgskole (NHH)
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VAKE.ai (start-up company)
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Utkilen
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Western Bulk
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Bergen Rederiforening
Members:
Financial/grant information:
Funded by the Research Council of Norway with a 16 MNOK budget through "Samarbeidsprosjekt for å møte utfordringer i samfunn og næringsliv"