Brenda McCabe
Papers
4
Total Citations
309
H-Index
4
About
Brenda McCabe is a prominent construction engineering and management researcher whose work sits at the intersection of computer vision, robotics, and intelligent construction technologies. Based at the University of Toronto, McCabe has made significant contributions to automating construction monitoring and quality control processes, with a particular focus on leveraging emerging technologies to improve project outcomes. Her most influential work, "Automated Computer Vision-Based Detection of Components of Under-Construction Indoor Partitions" (2016), has garnered over 200 citations and established her as a leading voice in applying machine learning and visual recognition to construction progress monitoring. This research laid critical groundwork for automating traditionally labor-intensive inspection tasks. McCabe has been a pioneering advocate for deploying unmanned aerial vehicles (UAVs) in indoor construction environments, exploring their practical applications across progress monitoring, quality control, and project documentation. Her investigations into UAV-to-BIM integration pipelines represent forward-thinking efforts to bridge reality capture technologies with building information modeling workflows, addressing long-standing data management challenges in the industry. Through her work on tag-based indoor localization and aerial robotics, McCabe continues advancing the frontier of smart construction, helping transform how the industry captures, analyzes, and acts upon site data — work that increasingly informs both academic research and real-world construction practice.
Research Focus
Key Achievements
Top Papers
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