In this module we will look at some of the state-of-art technologies in heavy civil operations, their current impact, and potential future. Specifically, 2D and 3D visual analytics are evaluated for automated reality capture and control of heavy civil operations using photogrammetry and 3D laser scanners, respectively. You will also be introduced to some of the robotics applications that can assist with harsh heavy construction environments.
- Identify the most common technologies that the industry uses for different applications
- Convert a 2D image to its digital representation
- Explain how image processing can be important for construction site monitoring
- Distinguish between image-based and laser based methods for point cloud acquisition
- Explain the benefits of robots used for task performance in harsh heavy construction environments
Please note that this video preview is intended for exploration purposes only. If you'd like to use this interactive module in one of your courses, to ensure playback and tracking, you must upload the SCORM package (downloadable below) to your institution's Learning Management System (ex. Blackboard, D2L, Moodle, etc).
|2D Image Digital Representation | Download File (423.83 KB)||CC BY|
|2D Imaging | Download File (764.05 KB)||CC BY|
|Analysis Outcome Flatness Control | Download File (1.22 MB)||CC BY|
|Analysis Outcome Visualization | Download File (2.12 MB)||CC BY|
|Comparison of 3D Data Collection Methods Chart | Download File (171.27 KB)||CC BY|
|Control Systems Diagrams | Download File (146.71 KB)||CC BY|
|Geometry Analysis for Quality Control | Download File (1.37 MB)||CC BY|
|Image Based 3D Point Cloud | Download File (1.5 MB)||CC BY|
|Occulsion | Download File (5.85 MB)||CC BY|
|Scan Based 3D Imaging | Download File (514.3 KB)||CC BY|
|New Technologies in Heavy Civil Operations (SCORM package)||
This SCORM package can be downloaded, and uploaded into your institution's Learning Management System.
|New Technologies in Heavy Civil Operations (Storyline file)||
This Storyline File can be downloaded and modified to your specific learning objectives (within the bounds of the creative commons licensing selected for this file. This is encouraged, but any technical issues are not supported by the University of Toronto.