Siegert, Gregor und Banyś, Paweł und Heymann, Frank (2016) Improving the Maritime Traffic Situation Assessment for a Single Target in a Multisensor Environment. In: Maritime Knowledge Discovery and Anomaly Detection Workshop Proceedings, Seiten 78-82. Publications Office of the European Union. 'Workshop on Maritime Knowledge Discovery and Anomaly Detection, 2016-07-05 - 2016-07-06, Ispra, Italien. doi: 10.2788/025881. ISBN 978 92 79 61301 2.
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Kurzfassung
The key to maritime surveillance is an accurate and real-time update of the current traffic situation. Although the Automatic Identification System (AIS) has greatly improved the traffic situation assessment over the past years, it has shown to be error-prone and vulnerable to spoofing or intentional misuse. To obtain a more reliable picture of a vessel’s motion this work proposes the fusion of AIS and Radar data in a loosely coupled architecture. For that reason, an Interacting Multiple Model (IMM) Multi Sensor Probabilistic Data Association (PDA) filter was designed not only to fuse measurements from different sources, but also to best capture the different dynamic states of a single vessel. In the IMM two Unscented Kalman Filters (UKFs) run in parallel and interact with each other, each implementing a different dynamic model, the CV and CTRV, respectively. Each UKF is conditioned on asynchronous measurements obtained from either AIS or Radar. In case of the latter, measurements of a target candidate may also originate from clutter, not from the target itself. The PDA filtering approach not only associates these measurements to the actual target state but also acts as innovation gate for faulty AIS position updates. A standard blob detection algorithm was implemented and tuned for extracting target candidates in range and bearing from Radar images. To show the benefits of the proposed scheme a dedicated measurement campaign was performed in the Baltic Sea with a stationary ship monitoring a highly manoeuvring target vessel. With the proposed approach not only short term AIS induced errors can be detected and rejected but what may also become observable is suspicious AIS behaviour including anomalous position data or muted transponders.
elib-URL des Eintrags: | https://elib.dlr.de/104762/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Improving the Maritime Traffic Situation Assessment for a Single Target in a Multisensor Environment | ||||||||||||||||
Autoren: |
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Datum: | Oktober 2016 | ||||||||||||||||
Erschienen in: | Maritime Knowledge Discovery and Anomaly Detection Workshop Proceedings | ||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.2788/025881 | ||||||||||||||||
Seitenbereich: | Seiten 78-82 | ||||||||||||||||
Herausgeber: |
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Verlag: | Publications Office of the European Union | ||||||||||||||||
ISBN: | 978 92 79 61301 2 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | AIS, IMM-MSPDA, UKF, radar image processing, sensor fusion, single target tracking | ||||||||||||||||
Veranstaltungstitel: | 'Workshop on Maritime Knowledge Discovery and Anomaly Detection | ||||||||||||||||
Veranstaltungsort: | Ispra, Italien | ||||||||||||||||
Veranstaltungsart: | Workshop | ||||||||||||||||
Veranstaltungsbeginn: | 5 Juli 2016 | ||||||||||||||||
Veranstaltungsende: | 6 Juli 2016 | ||||||||||||||||
Veranstalter : | Joint Research Center | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Automated Aids for Safe and Efficient Vessel Traffic Process (alt) | ||||||||||||||||
Standort: | Neustrelitz | ||||||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nautische Systeme | ||||||||||||||||
Hinterlegt von: | Siegert, Gregor | ||||||||||||||||
Hinterlegt am: | 11 Jan 2017 09:57 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:10 |
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