6533b871fe1ef96bd12d2495

RESEARCH PRODUCT

On Detection of Yaw and Roll Angle Information for Vehicle Oblique Crash using Hough Transform

Hamid Reza KarimiKjell G. RobbersmyrSondre Sanden TørdalMladen JecmenicaAndreas KlausenOle Melteig

subject

Engineeringbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOblique caseGyroscopeCrashImage processinglaw.inventionHough transformEuler anglessymbols.namesakelawsymbolsComputer visionArtificial intelligencebusinessMATLABcomputerGeometric data analysiscomputer.programming_language

description

When 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.

yearjournalcountryeditionlanguage
2014-06-01
10.1109/wcica.2014.7053739https://hdl.handle.net/11250/2649377