Autonomous Vision-based Progress Monitoring of Building and Infrastructure Construction Projects
Award year: 2013-2014
With Mani Golparvar-Fard (Civil and Environmental Engineering) and Timothy Bretl (Aerospace Engineering) this project plans to use aerial robots—quadcopters—with onboard cameras to gather image and video data of construction progress. The ultimate goal is to automate the process of large-scale building and infrastructure construction monitoring through computer vision-based 3D reconstruction methods and Building Information Modeling, and provide owners, contractors, subcontractors, and tradesmen with the information they need to easily and quickly make project control decisions. The collaborators hypothesize that both construction cost and delivery time can be significantly reduced with tools that better characterize the extent to which construction plans are being followed.