elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Generic framework for vessel detection and tracking based on distributed marine radar image data

Siegert, Gregor and Hoth, Julian and Banyś, Paweł and Heymann, Frank (2018) Generic framework for vessel detection and tracking based on distributed marine radar image data. CEAS Space Journal. Springer. DOI: 10.1007/s12567-018-0208-6 ISSN 1868-2502

[img] PDF
3MB

Official URL: https://doi.org/10.1007/s12567-018-0208-6

Abstract

Situation awareness is understood as a key requirement for safe and secure shipping at sea. The primary sensor for maritime situation assessment is still the radar, with the AIS being introduced as supplemental service only. In this article, we present a framework to assess the current situation picture based on marine radar image processing. Essentially, the framework comprises a centralized IM-JPDA multi-target tracker in combination with a fully automated scheme for track management, i.e., target acquisition and track depletion. This tracker is conditioned on measurements extracted from radar images. To gain a more robust and complete situation picture, we are exploiting the aspect angle diversity of multiple marine radars, by fusing them a priori to the tracking process. Due to the generic structure of the proposed framework, different techniques for radar image processing can be implemented and compared, namely the BLOB detector and SExtractor. The overall framework performance in terms of multi-target state estimation will be compared for both methods based on a dedicated measurement campaign in the Baltic Sea with multiple static and mobile targets given.

Item URL in elib:https://elib.dlr.de/121142/
Document Type:Article
Title:Generic framework for vessel detection and tracking based on distributed marine radar image data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Siegert, Gregorgregor.siegert (at) dlr.dehttps://orcid.org/0000-0002-9134-4110
Hoth, JulianJulian.Hoth (at) dlr.deUNSPECIFIED
Banyś, PawełPawel.Banys (at) dlr.deUNSPECIFIED
Heymann, FrankFrank.Heymann (at) dlr.deUNSPECIFIED
Date:28 April 2018
Journal or Publication Title:CEAS Space Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1007/s12567-018-0208-6
Publisher:Springer
ISSN:1868-2502
Status:Published
Keywords:Maritime situation awareness, Multi-target tracking, Multi-radar Fusion, IMM–JPDA filtering, Radar image processing, BLOB detector, SExtractor
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Automated Aids for Safe and Efficient Vessel Traffic Process (old), V - Energie und Verkehr
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Siegert, Gregor
Deposited On:23 Jul 2018 16:35
Last Modified:31 Jul 2019 20:18

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.