Events Calendar

Astani Civil and Environmental Engineering Seminar

Speaker: Mani Golparvar-Fard , Assistant Professor of Civil Engineering, Director, Real-time and Automated Monitoring and Control (RAAMAC) lab, Virginia Tech

Talk Title: Automated Visual Sensing and Augmented Reality Visualization of Construction Performance Metrics

Abstract: The destructive impact of construction and operation of the built environment in forms of materials, energy consumption, and Green House Gas emissions are becoming increasingly evident. As a result, government agencies are proposing incentive-based regulations for companies to reduce carbon footprint associated with their projects. In this modus operandi, AEC professionals need to find ways by which they can set realistic goals for schedule, cost, and carbon footprint of their projects, systematically track and monitor operations to promptly identify, process, and communicate discrepancies between actual and expected performances. Maintaining focus on these goals in the minutiae of construction activities is still more of an art than a science today. Hence, many projects do not meet their potential performance. Building on advanced computer vision, graphics, and machine learning techniques, this talk addresses how the utilization of images and videos along with BIM can be streamlined to monitor actual performance of a project, highlight deviations from expected performance, and provide an opportunity to initiate proactive actions to avoid them or minimize their impacts. The underlying hypotheses, algorithmic developments, and validations on using 1) video streams for automated construction productivity and environmental impact assessments, along with 2) images and BIM for automated progress and quality assessments are discussed in detail. Experimental results on several challenging datasets are presented and perceived benefits of the proposed methods are discussed. This talk will end with the implications of current and future research aimed at development of visual sensing techniques for automated tracking of productivity, safety, quality, carbon footprint, and visualizing performance deviations in augmented reality environments.



Host: Astani CEE Department

Location: Kaprielian Hall (KAP) - 209

Audiences: Everyone Is Invited

Contact: Cassie Cremeans