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Fisheye Camera Calibration and Image Stitching for Automotive Applications
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Integrated camera systems for increasing safety and maneuverability are becoming increasingly common for heavy vehicles. One problem with heavy vehicles today is that there are blind spots where the driver has no or very little view. There is a great demand on increasing the safety and helping the driver to get a better view of his surroundings. This can be achieved by a sophisticated camera system, using cameras with wide field of view, that could cover dangerous blind spots.

This master thesis aims to investigate and develop a prototype solution for a camera system consisting of two fisheye cameras. The solution covers both hardware choices and software development including camera calibration and image stitching. Two different fisheye camera calibration toolboxes are compared and their results discussed, with the aim to find the most suitable for this application. The result from the two toolboxes differ in performance, and the result from only one of the toolboxes is sufficient for image stitching. 

Place, publisher, year, edition, pages
2015. , 34 p.
Keyword [en]
fisheye camera calibration, image stitching
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-121399ISRN: LiTH-ISY-EX--15/4887--SEOAI: diva2:854521
External cooperation
Subject / course
Computer Vision Laboratory
Available from: 2015-09-18 Created: 2015-09-17 Last updated: 2015-09-18Bibliographically approved

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Söderroos, Anna
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