On Detection of Yaw and Roll Angle Information for Vehicle Oblique Crash using Hough Transform
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Original versionTørdal, 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. 10.1109/WCICA.2014.7053739
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.