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Accuracy Assessment of Three-Dimensional Site Features Generated with Aid of Photogrammetric Epipolar Lines in PhotoModeler and Using Minimal sUAS Imagery
Technical Paper
2019-01-0410
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Photogrammetry is widely used in the accident reconstruction community to extract three-dimensional information from photographs. This article extends a prior study conducted by the authors, whereby model accuracy was assessed for a technique that exploited vehicle edges and epipolar line projections to construct 3D vehicle models, by examining 3D roadway and site features. To do so, artificial images were generated using an ideal computer-generated camera within a computer-assisted drawing environment to allow for a known reference model to compare with results produced using photogrammetry. A systematic study was undertaken by modeling the curvature, elevation, and super-elevation of a roadway and associated markings, sidewalks, and buildings, either by relying on discrete points or utilizing epipolar lines. The models were assessed for accuracy, and the sensitivity of the accuracy to camera elevation was considered. Subsequently, the photogrammetric procedures were applied to actual sites, and the results were compared with 3D total station and scanner measurements. A further goal of this study was to evaluate modeling accuracy for cases in which a minimal number of sUAS images were included in the photogrammetry project. The findings of the current study corroborated the prior effort when scaled for the size of the objects modeled. It was demonstrated in this study that using photographs taken with a calibrated digital camera, and taking advantage of epipolar lines when modeling, allowed analysts to construct wireframe models of a real-world site, straight and curved edges included, that exhibited an average residual error of 4.1 cm (SD = 2.6 cm) when compared to scanned measurements, resulting in nominal dimensions of the object within 0.2% of the measured dimensions. The modeled site grades fell within ±0.4% of the measured grades.
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Citation
Long, A. and Noll, S., "Accuracy Assessment of Three-Dimensional Site Features Generated with Aid of Photogrammetric Epipolar Lines in PhotoModeler and Using Minimal sUAS Imagery," SAE Technical Paper 2019-01-0410, 2019, https://doi.org/10.4271/2019-01-0410.Data Sets - Support Documents
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References
- Linder , W. Digital Photogrammetry: A Practical Course Third Berlin Springer-Verlag 2009 10.1007/978-3-540-92725-9
- Randles , B. , Jones , B. , Welcher , J. , Szabo , T. et al. The Accuracy of Photogrammetry Vs. Hands-On Measurement Techniques Used in Accident Reconstruction SAE Technical Paper 2010-01-0065 2010 10.4271/2010-01-0065
- Peck , L.R. and Cheng , M.H. The Accuracy of an Optimized, Practical Close-Range Photogrammetry Method for Vehicular Modeling SAE Int. J. Trans. Safety 4 2 2016 10.4271/2016-01-1462
- Jurkofsky , D.A. Accuracy of sUAS Photogrammetry for Use in Accident Scene Diagramming SAE Int. J. Trans. Safety 3 2 136 152 2015 10.4271/2015-01-1426
- Long , A. and Noll , S. Accuracy Assessment of Three-Dimensional Vehicle Edge Features Generated with Aid of Photogrammetric Epipolar Lines SAE Technical Paper 2018-01-0530 2018 10.4271/2018-01-0530
- 2016
- Neale , W.T. , Hessell , D. , and Tepstra , T. Photogrammetric Measurement Error Associated with Lens Distortion SAE Technical Paper 2011-01-0286 2011 10.4271/2011-01-0286
- 2017
- Breidt , M. 3Pt. Align 1.3 2013 https://apps.autodesk.com/3DSMAX/en/Detail/Index?id=3470835942265631269&appLang=en&os=Win64