V
Varun Kumar Reja
Researcher at Indian Institute of Technology Madras
Publications - 6
Citations - 45
Varun Kumar Reja is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 2 publications receiving 8 citations. Previous affiliations of Varun Kumar Reja include University of Technology, Sydney.
Papers
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Proceedings ArticleDOI
Impact of 5G Technology on IoT Applications in Construction Project Management
Varun Kumar Reja,Koshy Varghese +1 more
TL;DR: A comparative quantitative analysis of sample processes is presented to show the potential advantage that 5G technology will bring over 4G with the help of an example.
Journal ArticleDOI
Computer vision-based construction progress monitoring
TL;DR: In this article , the authors developed an integrated process framework for Computer-Vision-Based Construction Progress Monitoring (CV-CPM), which comprises: data acquisition and 3D-reconstruction, as-built modelling, and progress assessment.
Book ChapterDOI
Mixed Reality-Based Dataset Generation for Learning-Based Scan-to-BIM
TL;DR: In this paper, an interactive user interface using a game engine within a mixed reality environment is presented for fusing as-is spatial information with the AR/VR based information in Unity 3D.
Journal ArticleDOI
Impact of Reinforcement Design on Rebar Productivity
Varun Kumar Reja,Koshy Varghese +1 more
TL;DR: Mallya et al. as mentioned in this paper studied the impact of reinforcement design on productivity in heavily reinforced structures and found that reinforcement design can be used to predict the productivity for future structures.
Journal ArticleDOI
Discrete Event Simulation Based Approach for Tracking Performance of Segmental Production at Precast Yard
TL;DR: Rai et al. as mentioned in this paper integrated process analysis tools with ExtendSim simulation as a performance tracking system for superstructure construction at a precast yard, which can provide management with multiple dimensions for enhancing the efficiency and effectiveness of the segmental production process.