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dc.contributor.authorTørdal, Sondre Sanden
dc.contributor.authorKlausen, Andreas
dc.contributor.authorKarimi, Hamid Reza
dc.contributor.authorRobbersmyr, Kjell G
dc.contributor.authorJecmenica, Mladen
dc.contributor.authorMelteig, Ole
dc.date.accessioned2020-03-30T11:40:14Z
dc.date.available2020-03-30T11:40:14Z
dc.date.created2015-02-28T10:23:15Z
dc.date.issued2014
dc.identifier.citationTørdal, S. S., Klausen, A., Karimi, H. R., Robbersmyr, K. G., Ječmenica, M., & Melteig, O. (2014, 29 June-4 July 2014). On detection of Yaw and roll angle information for vehicle oblique crash using Hough Transform. Paper presented at the Proceeding of the 11th World Congress on Intelligent Control and Automation.en_US
dc.identifier.isbn978-1-4799-5825-2
dc.identifier.urihttps://hdl.handle.net/11250/2649377
dc.description.abstractWhen performing vehicle crash tests, it is common to capture high frame rate video (HFR) to observe the vehicle motion during the impact. Such videos contain a lot of information, especially when it comes to geometric data. The yaw and roll angles from the HFR video is detected by using the Hough Transform and Matlab's Image processing Toolbox. The measured Yaw angle from the HFR video are compared with real life test data captured with a gyroscopic device inside the vehicle during the oblique vehicle impact.en_US
dc.language.isoengen_US
dc.relation.ispartof11th World Congress on Intelligent Control and Automation (WCICA 2014)
dc.titleOn Detection of Yaw and Roll Angle Information for Vehicle Oblique Crash using Hough Transformen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber5951-5955en_US
dc.source.journalProceeding of the 11th World Congress on Intelligent Control and Automationen_US
dc.identifier.doi10.1109/WCICA.2014.7053739
dc.identifier.cristin1228328
cristin.unitcode222,58,3,0
cristin.unitnameInstitutt for prosess-, energi- og miljøteknologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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