Yelda Turkan

TL;DR: The research presented in this paper combines the Hough transform and “Scan-vs-BIM” systems in a unified approach for more robust automated comparison of as-built and as-planned cylindrical MEP works, thereby providing the basis for automated earned value tracking, automated percent-built-as-planned measures, and assistance for the delivery of as -built BIM models from as-designed ones.

TL;DR: A novel system is described herein that combines 3D object recognition technology with schedule information into a combined 4D object oriented progress tracking system that demonstrates a degree of accuracy for automated progress tracking that meets or exceeds typical manual performance.

TL;DR: In this article, a Scan-vs-BIM object recognition framework was proposed for the automatic assessment of as-built status of MEP works in construction projects at a cost that continues to decline.

TL;DR: A new pedagogy for teaching structural analysis that incorporates mobile augmented reality (AR) and interactive 3D visualization technology is introduced, and the results of the pilot study indicate that the utilized AR design concepts have potential to contribute to students’ learning by providing interactive and3D visualization features, which support constructive engagement and retention of information in students.

TL;DR: In this paper, the authors proposed a more accurate and frequent construction progress tracking method for project systems such as cost, schedule control, and billing, which is based on the conventional progress track.