The accident reconstruction community has previously relied upon photographs and site visits to recreate a scene. This method is difficult in instances where the site has changed or is not accessible. In 2017 the United States Geological Survey (USGS) released historical 3D point clouds (LiDAR) allowing for access to digital 3D data without visiting the site. This offers many unique benefits to the reconstruction community including: safety, budget, time, and historical preservation. This paper presents a methodology for collecting this data and using it in conjunction with aerial imagery, and camera matching photogrammetry to create 3D computer models of the scene without a site visit. To determine accuracies achievable using this method, evidence locations solved for using only USGS LiDAR, aerial images and scene photographs (representative of emergency personnel photographs) were compared with known locations documented using total station survey equipment and ground-based 3D laser scanning. The data collected from three different site locations was analyzed, and camera matching photogrammetry was performed independently by 5 different individuals to locate evidence. On average, the resulting evidence for all three test sites was found to be within 3.0 inches (8cm) of known evidence locations with a standard deviation of 1.7 inches (4cm). To further evaluate the quality of the USGS LiDAR, a comparative point cloud analysis of the roadway surfaces was performed. On average, 85% of the USGS LiDAR points were found to be within .5 inches of the ground-based 3D scanning points.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reconstruction of 3D Accident Sites Using USGS LiDAR, Aerial Images, and Photogrammetry


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX SAE World Congress Experience ; 2019



    Publication date :

    2019-04-02




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Reconstruction of 3D Accident Sites Using USGS LiDAR, Aerial Images, and Photogrammetry

    Terpstra, Toby / Dickinson, Jordan / Hashemian, Alireza et al. | British Library Conference Proceedings | 2019


    Aerial Photoscanning with Ground Control Points from USGS LiDAR

    Hashemian, Alireza / King, Charles / King, Eric et al. | SAE Technical Papers | 2022


    Photogrammetry and Accident Reconstruction: Experimental Results

    Smith, Gregory C. / Kinney, J. Rolly / Tumbas, Nicholas S. | SAE Technical Papers | 1994


    Photogrammetry and Accident Reconstruction: Experimental Results

    Tumbas, N. S. / Rolly Kinney, J. / Smith, G. C. et al. | British Library Conference Proceedings | 1994


    The Application of Photogrammetry to Accident Reconstruction

    Breen,K.C. / Anderson,C.E. / Packer Engng.Minneapolis,Anoka,US | Automotive engineering | 1986