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Evaluation of the Accuracy of Image Based Scanning as a Basis for Photogrammetric Reconstruction of Physical Evidence
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 05, 2016 by SAE International in United States
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Improvements in computer image processing and identification capability have led to programs that can rapidly perform calculations and model the three-dimensional spatial characteristics of objects simply from photographs or video frames. This process, known as structure-from-motion or image based scanning, is a photogrammetric technique that analyzes features of photographs or video frames from multiple angles to create dense surface models or point clouds. Concurrently, unmanned aircraft systems have gained widespread popularity due to their reliability, low-cost, and relative ease of use. These aircraft systems allow for the capture of video or still photographic footage of subjects from unique perspectives.
This paper explores the efficacy of using a point cloud created from unmanned aerial vehicle video footage with traditional single-image photogrammetry methods to recreate physical evidence at a crash scene. The unique aspects of photographs or video taken with unmanned aircraft systems ease some of the challenges of creating point cloud data with ground level footage. To explore the accuracy of this process, the authors constructed a mock scene with physical evidence that is typical of vehicular crashes. The scene was scanned with a FARO laser scanner and photographed. The evidence was then removed and video was taken of the scene from an unmanned aerial vehicle. That video footage was processed with image-based scanning software to create a point cloud, and the point cloud was used as a means to determine the positions and characteristics of the camera at the time the evidence was photographed. The evidence was then reconstructed with traditional single image photogrammetry techniques, and the position and size of the reconstructed evidence was compared to the actual position as documented by the FARO scanner. Through this process, the authors determined that the use of unmanned aerial vehicle footage and image-based scanning software could be used to accurately reconstruct the location of physical evidence.
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CitationCarter, N., Hashemian, A., Rose, N., and Neale, W., "Evaluation of the Accuracy of Image Based Scanning as a Basis for Photogrammetric Reconstruction of Physical Evidence," SAE Technical Paper 2016-01-1467, 2016, https://doi.org/10.4271/2016-01-1467.
- Fay , R. , Robinette , R. , and Larson , V. Engineering Models and Animations in Vehicular Accident Studies SAE Technical Paper 880719 1988 10.4271/880719
- Dilich , M. and Goebelbecker , J. Accident Investigation and Reconstruction Mapping with Aerial Photography SAE Technical Paper 960894 1996 10.4271/960894
- Wirth , J. , Bonugli , E. , and Freund , M. Assessment of the Accuracy of Google Earth Imagery for use as a Tool in Accident Reconstruction SAE Technical Paper 2015-01-1435 2015 10.4271/2015-01-1435
- Jurkofsky , D. 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
- Vergauwen , M. et al Wide Baseline 3D Reconstruction from Digital Stills ISPRS Workshop on Visualization and Animation of Reality-based 3D Models Tarasp-Vulpera Engadin, Switzerland Feb. 2003
- Strecha C. , von Hansen , W. , Van Gool , L. , and Thoennessen , U. Multi-view Stereo and Lidar for Outdoor Scene Modelling International Archives of Photogrammetry, Remote Sensing and Spatial Information Science 2007
- Dai F , Rashidi A , Brilakis J , Vela P Comparison of image-based and time-of-flight-based technologies for 3D reconstruction of infrastructure Cai H et al. Construction Challenges in a Flat World 2012
- Wu , C. VisualSFM (Version 0.5) Computer Software http://ccwu.me/vsfm/
- Pix4D Mapper Pro (Version 2.0) Computer Software, Pix4D SA Switzerland https://pix4d.com/
- PhotoScan (Version 1.1.6) Computer Software, Agisoft LLC St. Petersburg, Russia http://www.agisoft.com/
- 123DCatch Computer Software Autodesk, Mill Valley, CA http://www.123dapp.com/catch
- 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
- 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
- GoPro Studio (Version 2.5.7) Computer Software, GoPro, Inc. San Mateo, CA http://shop.gopro.com/softwareandapp/gopro-studio/GoPro-Studio.html
- CloudCompare (Version 2.6.1) Computer Software http://www.cloudcompare.net/
- Campbell , A.T. III Adapting Three-Dimensional Animation Software for Photogrammetry Calculations Paper Number 930904 Society of Automotive Engineers 1993
- 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
- Main , B. and Knopf , E. A New Application of Camera Reverse Projection in Reconstructing Old Accidents SAE Technical Paper 950357 1995 10.4271/950357
- 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
- Rose , N. , Neale , W. , Fenton , S. , Hessel , D. et al. A Method to Quantify Vehicle Dynamics and Deformation for Vehicle Rollover Tests Using Camera-Matching Video Analysis, SAE Int. J. Passeng. Cars - Mech. Syst. 1 1 301 317 2009 10.4271/2008-01-0350
- Smith , G. and Allsop , D. A Case Comparison of Single-Image Photogrammetry Methods SAE Technical Paper 890737 1989 10.4271/890737
- 3ds Max 2015 Computer Software, Autodesk Mill Valley, CA http://www.autodesk.com/products/3ds-max/