Events Calendar

Astani Department of Civil and Environmental Engineering Seminar

Speaker: Yu Hou, Civil Engineering Ph.D. Candidate, Astani Department of Civil and Environmental Engineering

Talk Title: An Innovative Approach to RGB Point Cloud and Thermal Information Data Fusion for Building Thermal Map Modeling Using Aerial Images: Fusion Performance Results under Different Experimental Conditions

Abstract: Three-dimensional thermal mapping provides many benefits for auditing building energy performance when compared with 2D thermal images that provide only limited representation. However, the current thermal mapping approaches have accuracy and efficiency tradeoffs when modeling large areas using aerial images. In particular, low-resolution thermal images make it harder to obtain a high-quality thermal mapping model. To avoid using low-definition thermal images to reconstruct building thermal models and improve the performance of large-area thermal mapping, we proposed a thermal and RGB data fusion framework for thermal mapping. This presentation aims to explain how different experimental conditions on the proposed fusion approach affected the results. The evaluated conditions included different camera altitudes (60 meters and 35 meters), distinct camera angles (45 degrees and 30 degrees), diverse flight path designs (mesh grid and Y path), and various building styles (university campus buildings and buildings in a central city area). The results demonstrated that different performances of conducting the proposed data fusion approach under different conditions were observed, and the study provides suggestions for using this approach in such conditions.



Biography: Yu Hou is a Ph.D. candidate working with Dr. Lucio Soibelman. He received his M.S. degree in construction management from China University of Mining and Technology. He joined USC in 2016 and earned a M.S. degree in computer science from USC in 2019. He is expected to graduate in May 2021. His research focuses on improving building energy efficiency by automatically detecting heat loss and moisture areas on building envelopes from 3D thermographic models reconstructed by drone-based thermal images.



Host: Dr. Burcin Becerik

Location: Zoom Meeting https://usc.zoom.us/j/97228056404 Meeting ID: 972 2805 6404 Passcode: 864779

Audiences: Everyone Is Invited

Contact: Evangeline Reyes