Analytical Modeling to Estimate Vehicle Speed in Forensic Video for In-Depth Investigations of Traffic Accidents

Author:

Chen Qiang1121,Hou Haijing1121,Guan Zhiwei1121,Li Da1121

Affiliation:

1. School of Automobile and Transportation, Tianjin Univ. of Technology and Education, Tianjin, China.

2. Tianjin Sino-German Univ. of Applied Sciences, Tianjin, China.

Publisher

American Society of Civil Engineers

Reference14 articles.

1. Review of computer vision techniques for the analysis of urban traffic;Buch N.;IEEE Transactions on Intelligent Transportation Systems,2011

2. Erickson M. S. Bauer J. J. and Hayes W. C. (2013). "The accuracy of photo-based threedimensional scanning for collision reconstruction using 123D Catch." SAE Technical Paper Series SAE International 2013. https://doi.org/10.4271/2013-01-0784.

3. Close-range photogrammetry in traffic incident management;Fraser C.;International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2008

4. Digital photo and video editing in accident reconstruction;Hugemann W.;Proceedings of the 7th International Conference of the Institute of Traffic Accident Investigators,2005

5. A virtual reality method for digitally reconstructing traffic accidents from videos or still images;Jiao P.;Forensic Science International,2018

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