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Camera Orientation Based on Matching Road Networks

Kozempel, Karsten and Reulke, Ralf (2009) Camera Orientation Based on Matching Road Networks. Image and Vision Computing New Zealand. ISBN 978-1-4244-4698-8.

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Abstract

The following paper shows an approach to measure orientation data of sensors during an airplane flight for traffic data acquisition. This orientation data is necessary for georegistration of any taken aerial images and extracted features. Since an inertial measurement unit is a very costly component, alternative methods for orientation determination should be considered. In this paper we present an approach achieving this only by using a GPS position and a database of the road network around. It is shown how the roads are extracted in the image considering their color hue and how they are matched to the given database segments. To adjust the rotation angles a simplex optimization algorithm is used. The approach yields convergence rates of more than 96 percent with a rotation error of around 1/4 degree for pitch and roll, which is sufficient for traffic surveillance purpose.

Item URL in elib:https://elib.dlr.de/61147/
Document Type:Proceedings
Title:Camera Orientation Based on Matching Road Networks
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kozempel, KarstenDLR-TSUNSPECIFIED
Reulke, RalfHU-BerlinUNSPECIFIED
Date:2009
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Editors:
EditorsEmail
Bailey, DonaldMassey University, Palmerston North
Series Name:Image and Vision Computing New Zealand
ISBN:978-1-4244-4698-8
Status:Published
Keywords:Airborne traffic observation, exterior orientation, optical navigation
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 - DELPHI (old)
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Institute of Transportation Systems > Traffic Management
Deposited By: Reulke, Prof. Dr. Ralf
Deposited On:07 Jan 2010 09:06
Last Modified:19 Feb 2013 11:54

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