17 articles listed in reverse chronological order. View articles by field type using links on the right.
A study was conducted to assess the relative accuracy of two measurement techniques commonly used for vehicle measurements in damaged-based accident reconstruction. The traditional technique of hands-on measurement was compared with the use of photogrammetry for measurement of targeted damaged vehicles. Three undamaged vehicles were subjected to 4 impacts, resulting in 4 damaged areas (two front, one side and one rear).
 
“The Massachusetts State Police are using new technology to get traffic moving sooner after a crash. …” (article link is a cached version of the external site which is no longer active unfortunately (and it had a great video)).
 
Vehicle crush measurement (which is typically used to determine vehicle speed (or change in velocity : delta-v) at time of impact) has traditionally been done with tape measure or a surveyor’s total station. Mills and Carty demonstrate a method which is low cost, flexible, automated and accurate using PhotoModeler and PhotoModeler’s coded targets.
 
Using PhotoModeler and surveillance video, the authors perform measurements of height, and measurements of angle for gait analysis. Using this analysis the authors along with the police were able to correctly identify the perpetrator of a heinous crime. Complete study available to members – the external link shows abstract to all.
 
The main objective of this study is to show that PhotoModeler is a suitable measurement tool for vehicle crush measurement in the context of determining the equivalent barrier speed (EBS). The PhotoModeler process is applied to controlled crash information generated by the NHTSA.
 
The purpose of this paper is to evaluate the use of 3D photogrammetric modelling in the context of modal testing of automotive structures.
 
One of the challenges for accident reconstructionists is creating accurate accident scene diagrams from photographs, esp when only one photograph is available, and information about the camera that took the photograph is not available. The authors present a technique that enables the user to create an accurate accident scene diagram from only one unknown photograph of the accident scene, by using a combination of processes called Inverse Camera Projection and Photographic Rectification.