The information and communication technologies (ICTs) utilization ratio in the construction industry is relatively low. This industry is characterized by low productivity, time and cost overruns in projectsdue to inefficient management processes, poor communication and low process automation. To improve construction performance, a BIM-based (BIM - (Building Information Modelling) and augmented reality (AR) application (referred to as the AR4C: Augmented Reality for Construction) is proposed, which integrates a location-based management system (LBMS). The application provides context-specific information on construction projects and tasks, as well as key performance indicators on the progress and performance of construction tasks. The construction projects are superimposed onto the real world, while a site manager is walking through the construction site. This paper describes the most important methods and technologies, which are needed to develop the AR4C application. In particular, the data exchange between BIM software and the Unity environment is discussed, as well as the integration of LBMS into BIM software and the AR4C application. Finally, the implemented and planned functionalities are argued. The AR4C application prototype was tested in a laboratory environment and produced positive feedback. Since the application addresses construction sites, a validation in semi-real scenarios with end users is recommended.
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The construction industry is still lagging behind other industries in adopting new technologies for monitoring of performance and progress of construction works. In other industries like production or automotive such processes are already partly or fully automated. To improve effectiveness of construction scheduling and quality of works, this research proposes a BIMbased augmented reality application for site managers so-called AR4C. This application is combining Location-Based Management System and Building Information Modeling (BIM) to visualize in Augmented Reality key information related to progress and performance of construction works superimposed on the real world. This paper describes methodologies and technologies implemented in the AR4C application to control effectively construction works.
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