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Online Calibration of Camera Roll Angle
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Dynamisk kalibrering av kamerarollvinkeln (Swedish)
Abstract [en]

Modern day cars are often equipped with a vision system that collects informa- tion about the car and its surroundings. Camera calibration is extremely impor- tant in order to maintain high accuracy in an automotive safety applications. The cameras are calibrated offline in the factory, however the mounting of the camera may change slowly over time. If the angles of the actual mounting of the cam- era are known compensation for the angles can be done in software. Therefore, online calibration is desirable.

This master’s thesis describes how to dynamically calibrate the roll angle. Two different methods have been implemented and compared.The first detects verti- cal edges in the image, such as houses and lamp posts. The second one method detects license plates on other cars in front of the camera in order to calculate the roll angle.

The two methods are evaluated and the results are discussed. The results of the methods are very varied, and the method that turned out to give the best results was the one that detects vertical edges. 

Place, publisher, year, edition, pages
2013. , 41 p.
Keyword [en]
online calibration, roll angle, camera calibration
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-94219ISRN: LiTH-ISY-EX--13/4688--SEOAI: diva2:630415
Subject / course
Computer Vision Laboratory
Available from: 2013-06-26 Created: 2013-06-18 Last updated: 2013-06-26Bibliographically approved

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Computer VisionThe Institute of Technology
Electrical Engineering, Electronic Engineering, Information Engineering

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