Energy Analysis of Road Accidents Based on Close-Range Photogrammetry

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.

Fotogrametria com VANT aplicada em estudos ambientais rodoviários / Photogrammetry with UAV applied to environmental road studies

“…Nesse contexto, como uma tecnologia emergente apresenta-se o sensoriamento remoto e a fotogrametria (SR&F), mais especificamente associados à coleta de imagens por meio de pequenas aeronaves não tripuladas e suas plataformas, chamados VANT (Veículo aéreo não tripulado) ou VARP (Veículo aéreo remotamente pilotado), sucedidas de conveniente uso de programas computacionais apropriados [9,15,[17][18][19][20][21].…”

Reconstruction of 3d Accident Scene From Multirotor Uav Platform

“…The photogrammetric reconstruction of the scene starts with image acquisition where images must have particular requisites, not only in terms of object coverage, but also in spatial distribution of camera stations which should follow an ad hoc geometry. The extraction of 3D coordinates requires visibility of the same point scene from at least two points of view by an overlap between consecutive images (Barazzetti et al, 2012;Morales et al, 2015). Accident Reconstruction (AR) is a common term used in the 3D mapping of traffic accident scenes.…”

“…The purpose is to homogenise the different images captured for the 3D reconstruction, improving the key point of extraction and matching. The result covers the scale, rotation, and movement between images in an invariant algorithm (Morales et al, 2015). In addition, the advantage of localisation (geodetic total station) is that it is possible to create a 3D profile of the traffic accident scene including its surrounding to be used for process analysis and to view conditions involved in the traffic accident (Stáňa et al, 2017).…”

A New Approach to Energy Calculation of Road Accidents against Fixed Small Section Elements Based on Close-Range Photogrammetry

“…Next, the most representative novelties of the photogrammetric workflow are compared with those previously developed for the analysis of accidents [16], and improvements in feature extraction, matching, and orientation steps are highlighted.…”

“…These measurements are then inserted into mathematical equations to measure the collision This paper extends this research [16] through focussing on accidents against small rigid elements, with special emphasis on the geometrical errors that arise from the traditional protocols. Additionally, this paper introduces an enhanced version of the photogrammetric approach proposed previously by Morales et al (2015) [16]. Enhancements relate to the extraction of key points and the orientation and self-calibration of the photogrammetric network.…”