Citation

Jiao P, Miao Q, Zhang M, Zhao W. Forensic Sci. Int. 2018; 292: 176-180.

Affiliation

Guangdong Provincial Research Center of Traffic Accident Identification Engineering Technology, Centre of Forensic Science Southern Medical University, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China. Electronic address: 1253899950@qq.com.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.forsciint.2018.09.019

PMID

30321743

Abstract

With an increase in the number of traffic accidents and enhanced attention to the rule of law, technical appraisement to reconstruct traffic accidents is attracting increasing attention. Accident videos are important aspects in identification; however, we cannot reconstruct an accident scene onsite using video for many reasons. In this paper, we introduce a computer-based virtual reality method that can digitally reconstruct a traffic accident. This method employs accident videos to perform a three-dimensional (3D) reconstruction of accident scenes. Using video screenshots, it constructs a model of humans and vehicles in 3D space to achieve the goal of dynamic restoration. The results indicate that this method has relatively high accuracy, requires little time and is easy to use. In this paper, we analyse the sources of errors for this method and summarize the application conditions.

Copyright © 2018 Elsevier B.V. All rights reserved.

Language: en

Keywords

Error; Location restoration; Traffic accidents; Video; Virtual reality