Accuracy and Validation of 360-Degree Camera Use in Photogrammetry Momentum Engineering Corporation

Format:

Book

Conference/Event

Author/Creator:

Morales, Roberto C., author.

Contributor:

Farias, Edgar

Conference Name:

WCX SAE World Congress Experience (2022-04-05 : Detroit & Online, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2022

Summary:

Accident scene data obtained from photographs and videos are vital to the analysis performed during accident reconstruction. They allow forensic analysts to precisely determine the orientation and location of evidence. For that reason, the term digital evidence was adopted and is commonly used by forensic analysts in conjunction with retro-projection methods as an aid to reconstruct the events leading up to the incident in question. Photogrammetry is a retro-projection method commonly used by analysts to match scene photographs with calibrated control points obtained from three-dimensional point cloud data collected at the subject accident site and visualized on the accident scene images. From this merger, the photographs allow for the determination of the point at which the camera was positioned that took the subject image. In general, the point cloud data allows for increased accuracy during the photogrammetry process. Video footage obtained from the scenes can be exported as frames and then used in the same manner as digital images in photogrammetry. 360-degree cameras are a relatively newer type of camera that can capture their entire surroundings by having multiple wide-angle lenses. The research and testing presented in this study intend to analyze images from 360-degree cameras and justify their usage in photogrammetry.The present study considered three models of 360-degree cameras of various specifications, performance, and cost. All cameras were positioned in the same location and the same orientation as each other. Point cloud data of the test site was obtained using a Leica RTC360 Laser Scanner. The same point cloud data was used in the photogrammetric analysis for each camera. Testing was conducted outdoors in natural light, as it would be during typical forensic investigative procedures.The test scenario was conducted with 360-degree cameras. Distance between designated test objects was physically measured and used as a benchmark to the distances determined by point cloud photogrammetric analysis. The distances between the designated test objects were large enough to be considered appropriate for typical accident reconstruction analyses. A distance comparison was made against the physically measured benchmark distance for each 360-degree camera, as well as against the point cloud data

Notes:

Vendor supplied data

Publisher Number:

2022-01-0829

Access Restriction:

Restricted for use by site license