TY - JOUR
T1 - Heat Mapping Drones
T2 - An Autonomous Computer-Vision-Based Procedure for Building Envelope Inspection Using Unmanned Aerial Systems (UAS)
AU - Rakha, Tarek
AU - Liberty, Amanda
AU - Gorodetsky, Alice
AU - Kakillioglu, Burak
AU - Velipasalar, Senem
N1 - Funding Information:
This publication is based on work funded in part by Gryphon Sensors, Syracuse University’s Office of Research (Grant #SP-29403-2), the Campus as a Lab for Sustainability program at Syracuse University, the National Science Foundation (NSF) under CAREER grant CNS-1206291, NSF Grant CNS-1302559 and NSF Grant 173978. The authors would like to thank Mr. Ian Joyce, the Center for Advanced Systems Engineering (CASE) and the Syracuse Center of Excellence at Syracuse University for drone flight, data gathering and faculty development support.
Publisher Copyright:
© 2018, © 2018 Association of Collegiate Schools of Architecture.
PY - 2018
Y1 - 2018
N2 - Comprehensive and accurate energy audits are essential to maximize energy savings and improvements in buildings realized from the design and implementation of deep retrofits for building envelopes. This paper presents a methodology for employing drones to conduct rapid building envelope performance diagnostics and perform aerial mapping of energy flows. The presented framework is tested on the Syracuse University campus to showcase: (1) visually identifying areas of thermal anomalies using an Unmanned Aerial System (UAS) equipped with thermal cameras and (2) detailed inspection applied to areas of high interest to quantify envelope heat flow using computer-vision techniques. Overall precision and recall rates of 76% and 74% were achieved, respectively. A discussion of the findings suggests refining procedure accuracy as a step toward automated envelope inspection.
AB - Comprehensive and accurate energy audits are essential to maximize energy savings and improvements in buildings realized from the design and implementation of deep retrofits for building envelopes. This paper presents a methodology for employing drones to conduct rapid building envelope performance diagnostics and perform aerial mapping of energy flows. The presented framework is tested on the Syracuse University campus to showcase: (1) visually identifying areas of thermal anomalies using an Unmanned Aerial System (UAS) equipped with thermal cameras and (2) detailed inspection applied to areas of high interest to quantify envelope heat flow using computer-vision techniques. Overall precision and recall rates of 76% and 74% were achieved, respectively. A discussion of the findings suggests refining procedure accuracy as a step toward automated envelope inspection.
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U2 - 10.1080/24751448.2018.1420963
DO - 10.1080/24751448.2018.1420963
M3 - Article
AN - SCOPUS:85056654939
SN - 2475-1448
VL - 2
SP - 30
EP - 44
JO - Technology Architecture and Design
JF - Technology Architecture and Design
IS - 1
ER -