Browse Topic: Photogrammetry

Items (55)
The bundle adjustment, or more specifically, the colinearity math model it is based on, is undisputedly the most accurate method to perform 3D scene reconstruction from multiple images. It has been the gold standard since first developed in 1957–1959. The limitations of the method have motivated this investigation into how it could be improved.
A system which can remotely measure detailed deformations of vehicle structures during crush events was developed. The system uses ordinary video or 16 mm high speed movie to capture the crush event. This information is digitized and analyzed using personal computers to perform photogrammetric manipulations which yield accurate surface geometries. The output is useful for comparison to computer simulations. This paper presents preliminary results regarding the accuracy of this system.
Karvelis, Albert V.Rogers, Michael W.Anderson, Carl E.Liubinskas, Aldis
Given two or more photos of an accident vehicle (non-stereo pairs such as police photos) an estimate of the deformation (crush) of the vehicle may be obtained by application of camera reverse-projection, using two or more cameras and an exemplar vehicle. A single camera technique familiar to accident scene investigators is modified for this application. The methodology is described within the context of an experiment comparing results obtained by camera reverse projection to actual measured crush. A method of displaying crush results known as “displacement vectors” is presented and examples are illustrated. The technique has been found useful for measurement of 3-dimensional crush. This paper describes the two-image camera reverse-projection method, for determining automotive, accident-caused crush; procedures for applying this method including insights from the authors practical experiences; and a case-study example where results obtained from this method were compared to actual crush
Woolley, Ronald L.White, Karen A.Asay, Alan F.Bready, Jon E.
This paper describes how a photogrammetric analysis computer program entitled FOTOGRAM™ is used with a personal computer. The FOTOGRAM program was described in a paper entitled “Photogrammetric Analysis Using the Personal Computer” by Brelin, Cichowski, and Holcomo.(1)* The technique described herein utilizes field examples to show how skid mark data are extracted from photographs using manual as well as electronic digitization methods. The digitized photographic data are then converted with the FOTOGRAM computer program into ‘real-world’ data points that may be plotted on a collision scene schematic. Thus, the actual path of the vehicle during skidding and/or tire marking can be determined for use in reconstructing the accident.
Grimes, Wesley D.Culley, Charles H.Cromack, J. Robert
Accurate documentation of traffic accidents is a prerequisite for accident research as well as traffic jurisdiction. As an important part of accident documentation, stereo-photogrammetry is recognised to be an excellent tool for providing accurate and complete scaled maps of accident scenes. However, due to its relatively high expense, it is usually only applied in cases of severe accidents. In contrast, single-view photogrammetry which is based on photographs taken with “non-metric” cameras and on on-the-job calibration requires little installation at the accident scene and provides adequate accuracy, because camera calibration and plotting of scaled maps can be performed by making use of computer-assisted image analysis. As the method basically consists in a simple perspective rectification single-view photogrammetry as such is restricted to plane accident sites. In this paper the method is demonstrated and its accuracy discussed. ACCURATE AND COMPLETE documentation of traffic
Niederer, PeterBirchler, BernhardMesqui, FrançoisLehareinger, Yves
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