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Tracking Targets with Known Spatial Extent using Experiemental Marine Radar Data

Fowdur, Jaya Shradha and Baum, Marcus and Heymann, Frank (2019) Tracking Targets with Known Spatial Extent using Experiemental Marine Radar Data. 22nd International Conference on Information Fusion (FUSION 2019), Ottawa, Canada.

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Abstract

Endeavours to have a reliable and robust maritime traffic situation assessment are today leading to exploit the improved sensor resolution technology of radars. In such concerned tracking scenarios, multiple noisy scattered measurements arise from targets of interest’s surfaces at each observation step. In this paper, we present a special version of the Multiplicative Error Model-Extended Kalman Filter* (MEM-EKF*) Approach to recursively track the orientation and kinematics of Targets having known physical dimensions from a maritime- and radarbased dataset. Altogether, we also introduce and thereby propose an open dataset part of a marine radar benchmark dedicated to extended target tracking to the community. The benefits and performance of the proposed approach adopted on our dataset are discussed taking into consideration the non-ideal but nonetheless prevailing effects of the quotidian marine radar such as beam spreading and false negatives. As compared to its original version, the proposed approach proved to be more computationally efficient.

Item URL in elib:https://elib.dlr.de/128722/
Document Type:Conference or Workshop Item (Lecture, Speech)
Title:Tracking Targets with Known Spatial Extent using Experiemental Marine Radar Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fowdur, Jaya ShradhaJaya.Fowdur (at) dlr.deUNSPECIFIED
Baum, Marcusmarcus.baum (at) cs.uni-goettingen.deUNSPECIFIED
Heymann, FrankFrank.Heymann (at) dlr.deUNSPECIFIED
Date:15 May 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Extended Target Tracking, Radar Image Processing, Ellipsoidal shapes, Marine Radar Dataset
Event Title:22nd International Conference on Information Fusion (FUSION 2019)
Event Location:Ottawa, Canada
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - I4Port
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Fowdur, Jaya Shradha
Deposited On:25 Oct 2019 09:37
Last Modified:25 Oct 2019 09:37

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