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A Survey of Multi-View Photogrammetry Software for Documenting Vehicle Crush
Technical Paper
2016-01-1475
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Video and photo based photogrammetry software has many applications in the accident reconstruction community including documentation of vehicles and scene evidence. Photogrammetry software has developed in its ease of use, cost, and effectiveness in determining three dimensional data points from two dimensional photographs. Contemporary photogrammetry software packages offer an automated solution capable of generating dense point clouds with millions of 3D data points from multiple images. While alternative modern documentation methods exist, including LiDAR technologies such as 3D scanning, which provide the ability to collect millions of highly accurate points in just a few minutes, the appeal of automated photogrammetry software as a tool for collecting dimensional data is the minimal equipment, equipment costs and ease of use. This paper evaluates the accuracy and capabilities of four automated photogrammetry based software programs to accurately create 3D point clouds, by comparing the results to 3D scanning. Both a damaged and undamaged vehicle were documented with video and photographs and on average the damaged vehicle set returned more data points with higher accuracy than the undamaged vehicle set. Four cameras types were evaluated and more accurate results were achieved when using either a DSLR or a point-and-shoot camera than when using a GoPro, or a cell phone camera. Photogrammetry data from video footage was analyzed and found to be both less accurate and to return less data than photographs. By limiting the number of photographs used, it was found that a photogrammetry solution could be achieved with as few as 16 photographs encircling a vehicle, but better results were reached with a larger number of photographs.
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Terpstra, T., Voitel, T., and Hashemian, A., "A Survey of Multi-View Photogrammetry Software for Documenting Vehicle Crush," SAE Technical Paper 2016-01-1475, 2016, https://doi.org/10.4271/2016-01-1475.Also In
References
- Rucoba , R. , Duran , A. , Carr , L. , and Erdeljac , D. A Three-Dimensional Crush Measurement Methodology using Two-Dimensional Photographs SAE Technical Paper 2008-01-0163 2008 10.4271/2008-01-0163
- Fenton , S. , Johnson , W. , LaRocque , J. , Rose , N. et al. Using Digital Photogrammetry to Determine Vehicle Crush and Equivalent Barrier Speed (EBS) SAE Technical Paper 1999-01-0439 1999 10.4271/1999-01-0439
- 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
- Fenton , S. , Neale , W. , Rose , N. , and Hughes , C. Determining Crash Data Using Camera Matching Photogrammetric Technique SAE Technical Paper 2001-01-3313 2001 10.4271/2001-01-3313
- O’Shields , L. , Kress , T. , Hungerford , J. , and Aikens , C. Determination and Verification of Equivalent Barrier Speeds (EBS) Using PhotoModeler as a Measurement Tool SAE Technical Paper 2004-01-1208 2004 10.4271/2004-01-1208
- Chou , C. , McCoy , R. , Le , J. , Fenton , S. et al. Image Analysis of Rollover Crash Tests Using Photogrammetry SAE Technical Paper 2006-01-0723 2006 10.4271/2006-01-0723
- Neale , W. , Fenton , S. , McFadden , S. , and Rose , N. A Video Tracking Photogrammetry Technique to Survey Roadways for Accident Reconstruction SAE Technical Paper 2004-01-1221 2004 10.4271/2004-01-1221
- Coleman , C. , Tandy , D. , Colborn , J. , and Ault , N. Applying Camera Matching Methods to Laser Scanned Three Dimensional Scene Data with Comparisons to Other Methods SAE Technical Paper 2015-01-1416 2015 10.4271/2015-01-1416
- Neale , W. , Marr , J. , and Hessel , D. Video Projection Mapping Photogrammetry through Video Tracking SAE Technical Paper 2013-01-0788 2013 10.4271/2013-01-0788
- Behring , D. , Thesing , J. , Becker , H. , and Zobel , R. Optical Coordinate Measuring Techniques for the Determination and Visualization of 3D Displacements in Crash Investigations SAE Technical Paper 2003-01-0891 2003 10.4271/2003-01-0891
- Erickson , M. , Bauer , J. , and Hayes , W. The Accuracy of Photo-Based Three-Dimensional Scanning for Collision Reconstruction Using 123D Catch SAE Technical Paper 2013-01-0784 2013 10.4271/2013-01-0784
- Callahan , M. , LeBlanc , B. , Vreeland , R. , and Bretting , G. Close-Range Photogrammetry with Laser Scan Point Clouds SAE Technical Paper 2012-01-0607 2012 10.4271/2012-01-0607
- Luhmann , T. , Stuart R. , Stephen K. , and Jan B. Close-range Photogrammetry and 3D Imaging 2nd Walter De Gruyter GmbH 2014
- Thoeni , K. , Giacomini , A. Murtagh R. , and Kniest E. A Comparison of Multi-view 3D Reconstruction of a Rock Wall Using Several Cameras and a Laser Scanner. ISPRS -International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2014 573 80 10.5194/isprsarchives-XL-5-573-2014
- FARO Focus3D X 330 Overview October 28 2015 http://www.faro.com/en-us/products/3d-surveying/faro-focus3d/features#main
- Neale , W. , Hessel , D. , and Terpstra , T. Photogrammetric Measurement Error Associated with Lens Distortion, SAE Technical Paper 2011-01-0286 2011 10.4271/2011-01-0286
- PhotoModeler Scanner May 4 2015 http://photomodeler.com/products/scanner/default.html
- Agisoft PhotoScan http://www.agisoft.com/
- Pix4dmapper https://pix4d.com/
- Changchang Wu VisualSFM (version 0.5.26): A Visual Structure from Motion System http://ccwu.me/vsfm/ 201z1
- Changchang Wu , Agarwal Sameer , Curless Brian , and Seitz Steven M. Multicore Bundle Adjustment CVPR 2011
- CloudCompare http://www.danielgm.net/cc/