Radar Image Processing and AIS Target Fusion

• Autorzy: Heymann F. , Banyś P. , Saez C.

Identyfikatory

DOI

10.12716/1001.09.03.18

• 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.

Słowa kluczowe

EN

e-Navigation; Radar Image Processing, Radar; Automatic Identification System (AIS); AIS Target; AIS and Radar Fusion; Collision Avoidance; Maritime Traffic

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2015
• Tom: Vol. 9, no. 3
• Strony: 443--448
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Heymann F.

• Deutsches Zentrum für Luft und Raumfahrt eV., Neustrelitz, Germany

autor

Banyś P.

• Deutsches Zentrum für Luft und Raumfahrt eV., Neustrelitz, Germany

autor

Saez C.

• Deutsches Zentrum für Luft und Raumfahrt eV., Neustrelitz, Germany

Bibliografia

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• [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
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• [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