|Title||The Potential of Augmented Reality Technology for Pre-Construction|
|Authors||Khalid, C.M.L., Mohamed, Z., Fathi, M.S., Zakiyudin, M.Z., Rawai, N.M. and Abedi, M.|
Construction project management covering various aspects such as planning, coordinating, directing, scheduling, monitoring and control. Pre-construction services are used in planning a construction project before the actual construction begins. However, various problems happened at the pre-construction planning stage. This paper present an overview of the major problems in pre-construction stage and look at the potential of using augmented reality technology to overcome those problems. It was found that, at the pre-construction stage, good planning can not be done by the project teams especially to engineers and contractors due to the lack of supporting data, particularly when it involves information relating to underground utilities such as telecommunications, gas, electricity, water and sewerage. There are several approaches that can been undertaken in pre-construction services, especially in making an informed decision. The potential technology is using Augmented Reality (AR)-based approach in pre-construction service. Augmented reality is the integration of digital information with the users environment in real-time. It was one of the tool that support the concept of cyber-physical systems (CPS). CPS is the integration systems between computational network and physical processes. Currently, there are many fields utilised the application of AR such as medical, militiry, vehicles, gaming and navigation. This paper presents the applications of an AR-based approach to medical and gaming industry and explore the potential of using AR in pre-construction. The finding shows that the AR is a potential decision support tool that will speed up the planning process of the project team in the pre-construction phase in real-time.
|Journal||Applied Mechanics and Materials|
|Journal citation||405-408, pp. 3419-3422|
|Publisher||Trans Tech Publications|
|Digital Object Identifier (DOI)||https://doi.org/10.4028/www.scientific.net/AMM.405-408.3419|