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  5. On detection of Yaw and roll angle information for vehicle oblique crash using Hough Transform

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Article
English
2014

On detection of Yaw and roll angle information for vehicle oblique crash using Hough Transform

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English
2014
DOI: 10.1109/wcica.2014.7053739

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Hamid Reza Karimi
Hamid Reza Karimi

Politecnico di Milano

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Sondre Sanden Tørdal
Andreas Klausen
Hamid Reza Karimi
+3 more

Abstract

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.

How to cite this publication

Sondre Sanden Tørdal, Andreas Klausen, Hamid Reza Karimi, Kjell G. Robbersmyr, Mladen Ječmenica, Ole Melteig (2014). On detection of Yaw and roll angle information for vehicle oblique crash using Hough Transform. , pp. 5951-5955, DOI: 10.1109/wcica.2014.7053739.

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Publication Details

Type

Article

Year

2014

Authors

6

Datasets

0

Total Files

0

Language

English

DOI

10.1109/wcica.2014.7053739

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