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Remote Sens. 2015, 7(11), 15161-15178; doi:10.3390/rs71115161

Energy Analysis of Road Accidents Based on Close-Range Photogrammetry

1
Department of Computer Engineering and Automation, University of Salamanca, Plaza de los Caídos s/n, Salamanca 37008, Spain
2
Department of Land and Cartographic Engineering, High Polytechnic School of Avila, University of Salamanca, Hornos Caleros, 50, Ávila 05003, Spain
3
Departamento Tecnológico, Universidad Católica de Ávila, C\ Canteros s/n, Ávila 05005, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Müller and Prasad S. Thenkabail
Received: 18 September 2015 / Revised: 5 November 2015 / Accepted: 9 November 2015 / Published: 12 November 2015
View Full-Text   |   Download PDF [1458 KB, uploaded 12 November 2015]   |  

Abstract

This paper presents an efficient and low-cost approach for energy analysis of road accidents using images obtained using consumer-grade digital cameras and smartphones. The developed method could be used by security forces in order to improve the qualitative and quantitative analysis of traffic accidents. This role of the security forces is crucial to settle arguments; consequently, the remote and non-invasive collection of accident related data before the scene is modified proves to be essential. These data, taken in situ, are the basis to perform the necessary calculations, basically the energy analysis of the road accident, for the corresponding expert reports and the reconstruction of the accident itself, especially in those accidents with important damages and consequences. Therefore, the method presented in this paper provides the security forces with an accurate, three-dimensional, and scaled reconstruction of a road accident, so that it may be considered as a support tool for the energy analysis. This method has been validated and tested with a real crash scene simulated by the local police in the Academy of Public Safety of Extremadura, Spain. View Full-Text
Keywords: energy analysis; road accident; photogrammetry; computer vision; 3D reconstruction; software development energy analysis; road accident; photogrammetry; computer vision; 3D reconstruction; software development
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Morales, A.; Gonzalez-Aguilera, D.; Gutiérrez, M.A.; López, A.I. Energy Analysis of Road Accidents Based on Close-Range Photogrammetry. Remote Sens. 2015, 7, 15161-15178.

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