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Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics

Hillen, Florian and Höfle, Bernhard and Ehlers, Manfred and Reinartz, Peter (2014) Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics. International Journal of Image and Data Fusion, 5 (1), pp. 54-69. Informa UK Limited. DOI: 10.1080/19479832.2013.870934 ISSN 1947-9832

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Official URL: http://www.tandfonline.com/loi/tidf20


The term “real time” regarding airborne remote-sensing data can only seldom be found in recent literature on geospatial research. In the course of the German Aerospace Center (DLR) project VABENE, an airborne monitoring system has been developed which is able to pre-process remotely sensed images in real time by an on-board computing system. Afterwards, the data is directly transferred to a ground station via a microwave data transfer system installed on the aircraft. In contrast to remote sensing, the real-time aspect of other types of geo-sensors has been ubiquitous for several years. This article presents a novel concept for an information fusion infrastructure to fuse remote-sensing data and in-situ measurements for the integration in real-time applications via a spatial data infrastructure (SDI). Furthermore, an offline experiment will prove the concept by means of data sets that can already be provided by real-time systems. The study addresses the use case of agent-based modelling of people dynamics for security issues during major events to support avoiding tragedies.

Item URL in elib:https://elib.dlr.de/88520/
Document Type:Article
Title:Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hillen, FlorianUniversität OsnabrückUNSPECIFIED
Höfle, BernhardUniversität HeidelbergUNSPECIFIED
Ehlers, Manfredmehlers (at) igf.uni-osnabrueck.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:March 2014
Journal or Publication Title:International Journal of Image and Data Fusion
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1080/19479832.2013.870934
Page Range:pp. 54-69
Zhang, JixianCASM, China
Publisher:Informa UK Limited
Keywords:information fusion; sensor fusion; spatial data infrastructure (SDI); remote sensing; smartphone sensing; agent-based modelling; people dynamics
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 - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Reinartz, Prof. Dr.. Peter
Deposited On:25 Mar 2014 12:58
Last Modified:06 Sep 2019 15:26

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