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An Operational System for Estimating Road Traffic Information from Aerial Images

Leitloff, Jens and Rosenbaum, Dominik and Kurz, Franz and Meynberg, Oliver and Reinartz, Peter (2014) An Operational System for Estimating Road Traffic Information from Aerial Images. Remote Sensing, 6 (11), pp. 11315-11341. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs61111315 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/6/11/11315

Abstract

Given that ground stationary infrastructures for traffic monitoring are barely able to handle everyday traffic volumes, there is a risk that they could fail altogether in situations arising from mass events or disasters. In this work, we present an alternative approach for traffic monitoring during disaster and mass events, which is based on an airborne optical sensor system. With this system, optical image sequences are automatically examined on board an aircraft to estimate road traffic information, such as vehicle positions, velocities and driving directions. The traffic information, estimated in real time on board, is immediately downlinked to a ground station. The airborne sensor system consists of a three-head camera system, a real-time-capable GPS/INS unit, five industrial PCs and a downlink unit. The processing chain for automatic extraction of traffic information contains modules for the synchronization of image and navigation data streams, orthorectification and vehicle detection and tracking modules. The vehicle detector is based on a combination of AdaBoost and support vector machine classifiers. Vehicle tracking relies on shape-based matching operators. The processing chain is evaluated on a large number of image sequences recorded during several campaigns, and the data quality is compared to that obtained from induction loops. In summary, we can conclude that the achieved overall quality of the traffic data extracted by the airborne system is in the range of 68% and 81%. Thus, it is comparable to data obtained from stationary ground sensor networks.

Item URL in elib:https://elib.dlr.de/92399/
Document Type:Article
Title:An Operational System for Estimating Road Traffic Information from Aerial Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Leitloff, Jensjens.leitloff (at) kit.eduUNSPECIFIED
Rosenbaum, Dominikdominik.rosenbaum (at) dlr.deUNSPECIFIED
Kurz, Franzfranz.kurz (at) dlr.deUNSPECIFIED
Meynberg, Oliveroliver.meynberg (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:13 November 2014
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:6
DOI :10.3390/rs61111315
Page Range:pp. 11315-11341
Editors:
EditorsEmail
UNSPECIFIEDMDPI
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:An Open Access Journal from MDPI
ISSN:2072-4292
Status:Published
Keywords:monitoring; pattern recognition; orthorectification; georeferencing; sequences; tracking; vehicle detection
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: Rosenbaum, Dr.rer.nat. Dominik
Deposited On:26 Nov 2014 15:41
Last Modified:21 Nov 2019 05:04

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