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Department: Atmospheric Processors
Department: Experimental Methods
Department: Photogrammetry and Image Analysis
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Team: Processing Chains
Team: Traffic Monitoring
Team: Image Analysis
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Department: SAR Signal Processing
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Traffic Monitoring



Using aerial optical remote sensing time series makes it possible to derive targeted traffic information for large areas within a short period of time. This source ideally complements other available traffic data sources and supports relief teams, emergency service organizations and authorities in decision processes associated with major disasters and public events. Complex analytic processes are needed to automatically extract the relevant traffic data and these can be classified as to whether they are intended for detecting streets, or vehicles, or for vehicle tracking. Since individual motor vehicles can be detected and tracked in image sequences with a high repetition rate, it is possible to derive not only vehicle density but also vehicle velocity. For this purpose, a camera system (3K camera) was constructed at the institute. It consists of three commercially available 16 MPix Canon cameras and a navigation unit, with which it is possible to record image sequences covering large areas at frequencies up to 3 Hz (see the link at right to the 3K camera system). Depending on flight altitude, the area which can be recorded on one image is up to 7 x 2 km2 (see figure), so that an area of 7 x 10 km² can be recorded in ca. 2 minutes.

 Traffic Monitoring
zum Bild Traffic Monitoring
 
 
 
New methodologies of vehicle detection and monitoring coupled with the simultaneous use of vector and raster data represent a considerable improvement in the quality of automatic analysis of time series images.
 

Contact
Dr.-Ing. Franz Kurz
German Aerospace Center (DLR)

Remote Sensing Technology Institute
, Photogrammetry and Image Analysis
Oberpfaffenhofen

82234 Weßling

Tel.: +49 8153 28-2764

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