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Radar Image Processing and AIS Target Fusion

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Języki publikacji
EN
Abstrakty
EN
Collision avoidance is one of the high-level safety objectives and requires a complete and reliable description of maritime traffic situation. A combined use of data provided by independent data sources is an approach to improve the accuracy and integrity of traffic situation related information. In this paper we study the usage of radar images for automatic identification system (AIS) and radar fusion. Therefore we simulate synthetic radar images and evaluate the tracking performance of the particle filter algorithm as the most promising filter approach. During the filter process the algorithm estimates the target position and velocity which we finally compare with the known position of the simulation. This approach allows the performance analysis of the particle filter for vessel tracking on radar images. In a second extended simulation we add the respective AIS information of the target vessel and study the gained level of improvement for the particle filter approach. The work of this paper is integrated in the research and development activities of DLR Institute of Communications and Navigation dealing with the introduction of data and system integrity into the maritime traffic system. One of the aimed objectives is the automatic assessment of the traffic situation aboard a vessel including integrity information.
Twórcy
autor
  • Deutsches Zentrum für Luft und Raumfahrt eV., Neustrelitz, Germany
autor
  • Deutsches Zentrum für Luft und Raumfahrt eV., Neustrelitz, Germany
autor
  • Deutsches Zentrum für Luft und Raumfahrt eV., Neustrelitz, Germany
Bibliografia
  • [1] SOLAS. 1974. ‘Safety of Life at Sea Conventions ’, SOLAS
  • [2] IMO RESOLUTION A.823(19). 1995. “PERFORMANCE STANDARDS FOR AUTOMATIC RADAR PLOTTING AIDS (ARPAs).”
  • [3] Rec. ITU‐R M.1371‐3 ‘Technical Characteristics for an Automatic Identification System Using Time Division Multiple Access in the VHF Maritime Mobile Band.’
  • [4] P. Banyś., T. Noack, S. Gewies (2012), ‘ASSESSMENT OF AIS VESSEL POSITION REPORT UNDER THE ASPECT OF DATA RELIABILITY’, Proceedings of the European Navigation Conference 2012, Gdynia
  • [5] F. Heymann, T. Noack, P. Banyś (2013), ‘Plausibility analysis of navigation related AIS parameter based on time series’, Proceedings of the European Navigation Conference 2013, Vienna
  • [6] P. Banyś, E. Engler, F. Heymann, and T. Noack (2013) ‘Timestamp Discrepancies in Multisensor NMEA Environment during Survey Voyage’, Scientific Journals Maritime University of Szczecin, 36 (1), pp. 22‐26.
  • [7] A. Lenart (1989), “ARPA Accuracy Testing.”, Journal of Navigation, 42, pp. 117‐123
  • [8] F. Heymann, P. Banyś, T. Noack (2014), ‘A pilot study of the advantage of radar image data over ARPA‐based position and bearing’, Proceedings of the European Navigation Conference 2014, Rotterdam
  • [9] F. Heymann, P. Banyś., T. Noack, E. Engler (2013), ‘Is ARPA Suitable for Automatic Assessment of AIS Targets?’, Advances in Marine Navigation, pp. 223‐232
  • [10] L. Tong, F. Heymann, and T. Noack (2013) ‘Radar target detection based on methods of image pattern matching’, Scientific Journals Maritime University of Szczecin, 36 (108), pp. 162‐167.
  • [11] A. Doucet, N. Freitas, N. Gordon (2001), “An Introduction to Sequential Monte Carlo Methods”, Sequential Monte Carlo Methods in Practice, New York: Springer‐Verlag, January 2001
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b44b1401-7516-4911-b068-0f22fc356047
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