Stereographic compilation with unmanned systems for transportation
6/5/2019 - 11:00am-11:50am
The incorporation of Unmanned Aerial Systems (UAS) in civil engineering projects has dramatically increased, resulting in a significant change on the progress of the industry. Adoption of these tools has amplified the need for 3D elevation modeling using methods like Structure from Motion (SfM) to create dense 3D point clouds; However, considerable limitations continue to exist to this approach, such as the inability to accurately map steep vertical terrain or small above ground features accurately such as powerlines, roof edges, curb and gutter, and above ground piping. Another common solution has been to utilize Light Detecting and Ranging (LiDAR) systems, and although accurate this process can be cost prohibitive in many cases.
Through highly controlled testing and processing, we propose a third approach that integrates inexpensive UAS systems with stereographic compilation, a very old photogrammetric technique to extract 3D vector information with survey grade accuracy. Using both traditional photogrammetric workflows and principles, we are able to identify and correct variables affecting the error budget to consistently create an accurate mapping product faster than conventional survey at a cost-effective approach via drones.
This presentation will discuss that research and approach as well as demonstrate some real-world examples of using this technique and accuracies using the ASPRS Positional Accuracy Standards.