Institute for Advanced Computer Studies
Energy audits can detect poor insulation and air leakage, making them an important tool when gauging the energy efficiency of a building. But current data collection processes are labor intensive, do not offer a comprehensive view of buildings, and do not support temporal tracking of building degradation over time. Graduate student Matthew Mauriello will work with Professor Jon Froehlich and other students to pursue a more scalable approach.
This approach includes automated 3D thermal profiling of buildings using unmanned aerial vehicles (UAV) and ground-based robotics, 3D-reconstruction, and automatic anomaly detection. The project will be divided into three phases: Manual Data Collection & Algorithm Design, Exterior Data Collection & Algorithm Testing, and Interior/Exterior Data Collection & Usability Studies. The project is expected to take approximately 1.5 years and the team will be applying the grant towards necessary research materials. Ultimately, the goal of this project is to develop a set of recommendations for retrofitting one to three buildings on campus.