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Evaluating visual ADAS components on the COnGRATS dataset
Goethe University, Germany.
Goethe University, Germany.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering. Goethe University, Germany.
2016 (English)In: 2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), IEEE , 2016, 986-991 p.Conference paper (Refereed)
Abstract [en]

We present a framework that supports the development and evaluation of vision algorithms in the context of driver assistance applications and traffic surveillance. This framework allows the creation of highly realistic image sequences featuring traffic scenarios. The sequences are created with a realistic state of the art vehicle physics model; different kinds of environments are featured, thus providing a wide range of testing scenarios. Due to the physically-based rendering technique and variable camera models employed for the image rendering process, we can simulate different sensor setups and provide appropriate and fully accurate ground truth data.

Place, publisher, year, edition, pages
IEEE , 2016. 986-991 p.
Series
IEEE Intelligent Vehicles Symposium, ISSN 1931-0587
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-134103DOI: 10.1109/IVS.2016.7535508ISI: 000390845600156ISBN: 978-1-5090-1821-5 (print)OAI: oai:DiVA.org:liu-134103DiVA: diva2:1067521
Conference
IEEE Intelligent Vehicles Symposium (IV)
Available from: 2017-01-22 Created: 2017-01-22 Last updated: 2017-01-22

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Mester, Rudolf
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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Output format
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  • asciidoc
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