Accuracy assessment of three-dimensional site features generated with aid of photogrammetric epipolar lines using minimal sUAS imagery 2019-01-0410
Photogrammetry is widely used in the accident reconstruction communities to extract three-dimensional information from photographs. This article extends a prior study conducted by the authors where model accuracy was assessed for a technique that exploited vehicle edges and epipolar line projections to construct 3D vehicle models by further 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 on roadway, sidewalk, and building models. The models were assessed for accuracy, and the sensitivity of the accuracy to camera elevation was carefully examined and explained. Finally, the procedures were applied to an actual site and the results were compared with a 3D total station measurements. A further goal of this study is to evaluate the modeling accuracy for cases in which a minimal number of sUAS images are included in the photogrammetry project. This proposed work will allow us to quantify the average residual error between a photogrammetry model created with the aid of epipolar lines and 3D total station measurements for three-dimensional roadway features.
Andrea Long, Scott Allen Noll
Inverse Scientific, LLC, Ohio State University