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Context-Enhanced Information Fusion for Tracking Applications

Medina, Daniel and García, Jesús and Romanovas, Michailas and Ziebold, Ralf and Schwaab, Manuel (2016) Context-Enhanced Information Fusion for Tracking Applications. 19th International Conference on Information Fusion (FUSION), 05-08 July 2016, Heidelberg.

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Abstract

Over the last decade, context has become a key source of information for tracking problems. Context inference allows refining sensor modeling and target dynamics as well as the creation of motion constraints according to the physical and operational conditions of the scenario. This work presents two example applications: indoor and inland waterway navigation where the context information is employed to reduce the uncertainty of the tracking and enhance the navigation solution. For indoor positioning a cascaded Extended Kalman Filter (EKF) and Particle Filter (PF) architecture is proposed. The system uses stance phase detection and the available floor map to construct the measurement models for the KF and motion constraints for the PF respectively. For navigating in inland waterways it is shown how to benefit from context information fusion by inferring the operating condition of the Global Navigation Satellite System (GNSS). In this scenario, context based criteria are derived for the selection of the best position estimation amongst several positioning solvers running in parallel. This work presents the basics for context fusion in tracking applications, illustrating the theory with two application examples. The preliminary results already demonstrate a performance improvement compared to state-of-the-art approaches.

Item URL in elib:https://elib.dlr.de/108712/
Document Type:Conference or Workshop Item (Lecture)
Title:Context-Enhanced Information Fusion for Tracking Applications
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Medina, Danieldaniel.ariasmedina (at) dlr.deUNSPECIFIED
García, JesúsUniversidad Carlos III MadridUNSPECIFIED
Romanovas, Michailasmichailas.romanovas (at) dlr.deUNSPECIFIED
Ziebold, Ralfralf.ziebold (at) dlr.deUNSPECIFIED
Schwaab, Manuelhahn-schickard-gesellschaftUNSPECIFIED
Date:8 August 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Context Awareness; Target Tracking; Bayesian Estimation, Information Fusion.
Event Title:19th International Conference on Information Fusion (FUSION)
Event Location:Heidelberg
Event Type:international Conference
Event Dates:05-08 July 2016
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)
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Medina, Daniel
Deposited On:02 Dec 2016 09:51
Last Modified:31 Jul 2019 20:05

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