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Automatic analysis of trajectories of moving objects

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Ongoing monitoring is essential to providing security and safety of maritime and air operations. This paper presents the research in the area of automatic analysis of movement of unrestricted vehicles like ships and airplanes. The analysis is aimed at extraction of trajectory information, and the results can be used to identify anomalous behavior in archived and real-time data. In this paper we focus on data acquired using the GPS by the vehicle and transmitted to a ground station using a dedicated system (AIS for ships and ADS-B for aircraft). However, the methods could be applied to positional information obtained by other means, e.g. a radar or sonar installation. We also present a low cost solution for gathering ASD-B data.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
35--40
Opis fizyczny
Bibliogr. 6 poz., rys.
Twórcy
  • Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland
Bibliografia
  • [1] Memorandum of Understanding for the implementation of a European Concerted Research Action designated as COST Action IC0903: Knowledge Discovery from Moving Objects (MOVE), COST 237/09, Brussels, 2009.
  • [2] Z. Fu; W. Hu; T. Tan, "Similarity based vehicle trajectory clustering and anomaly detection," Image Processing, 2005, vol.2, pp. 602-605, 2005.
  • [3] R. Scheepens, Niels Willems, Huub van de Wetering, and Jarke J. van Wijk, “Interactive Density Maps for Moving Objects”, Computer Graphics and Applications, IEEE 32, 56-66, 2012.
  • [4] L. Etienne, T. Devogele, A. Bouju, "Spatio-temporal trajectory analysis of mobile objects following the same itinerary." Advances in Geo-Spatial Information Science 10, 2012.
  • [5] E. van Iperen “Detection of hazardous encounters at the North sea from AIS data”, The international Workshop on Next Generation of Nautical Traffic Model, Shanghai, 2012.
  • [6] http://sdrsharp.com and http://gnuradio.org.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-19ccfa80-f455-48e6-9c4c-c143455e9dce
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