Reality capture is a process of capturing as-is conditions as images or point clouds using various means, including laser scanners, LIDAR (light detection and ranging) sensors, 360º cameras, unmanned aerial vehicles (UAVs), and more. All of these different modes spit out different output files that can then be converted to usable point cloud or vector data. Extracting construction intelligence from the point cloud or vector data and sharing it in a consumable format is the key for the success of any reality capture process. This class will detail laser scanning and UAV data-capture and intelligence-extraction workflows for different use cases, such as quality control/quality assurance, construction planning, site logistics, data-rich 3D modeling, intelligent as-builting, construction progress reporting, and so on.
- Understand current reality capture (UAV, laser scanning, and so on) workflows and methodologies
- Learn about different use cases for reality capture—QA/QC, data-rich modeling, construction planning and site logistics, and progress reporting
- Discover industry best practices for reality capture
- Discover the future of reality capture—industry expectations and trends