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Synchronization of a Multi Camera System
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
2015 (English)Independent thesis Basic level (university diploma), 10,5 credits / 16 HE creditsStudent thesis
Abstract [en]

In a synchronized multi camera system it is imperative that the synchronization error between the different cameras is as close to zero as possible and the jitter of the presumed frame rate is as small as possible. It is even more important when these systems are used in an autonomous vehicle trying to sense its surroundings. We would never hand over the control to a autonomous vehicle if we couldn't trust the data it is using for moving around.

The purpose of this thesis was to build a synchronization setup for a multi camera system using state of the art RayTrix digital cameras that will be used in the iQMatic project involving autonomous heavy duty vehicles. The iQMatic project is a collaboration between several Swedish industrial partners and universities. There was also software development for the multi camera system involved. Different synchronization techniques were implemented and then analysed against the system requirements. The two techniques were hardware trigger i.e. external trigger using a microcontroller, and software trigger using the API from the digital cameras.

Experiments were conducted by testing the different trigger modes with the developed multi camera software. The conclusions show that the hardware trigger is preferable in this particular system by showing more stability and better statistics against the system requirements than the software trigger. But the thesis also show that additional experiments are needed for a more accurate analysis.

Place, publisher, year, edition, pages
2015. , 57 p.
Keyword [en]
camera, synchronized, autonomous, vehicles
Keyword [sv]
kameror, synkronisering, iQMatic, autonoma, fordon
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-119408ISRN: LiTH-ISY-EX-ET--15/0438--SEOAI: diva2:822340
Subject / course
Computer Vision Laboratory
Available from: 2015-06-16 Created: 2015-06-16 Last updated: 2015-06-17Bibliographically approved

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Vibeck, Alexander
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