*Fuzzy Photogrammetric Algorithm for City Built Environment Capturing into Urban Augmented… DOI: http://dx.doi.org/10.5772/intechopen.110551*

planning, measurement computations, design updates, collection of on-site architecture environment, safety training, etc.

Although UAR model uses multiple tools, it is the best visual aid to get walkthroughs for analyzing the virtual urban development plans. There are specific issues like high computational complexities, networking requirements and storage complexities to be considered. However, in practice, the limitations regarding technical issues can be overcome (to possible extents) as a scope for future research. The proposed method can further enhance the level of understanding of urban built environment by incorporating cloud computing services. We could realize uploading as well as synchronization of information contained in connected devices which feed smart cities.

Thus, the Architecture, Engineering, Construction, and Facility Management (AEC/FM) designs and construction site 3D visuals can be accessible, examinable, and modifiable from any location, irrespective of the location.

Users from different locations can collaborate with each other by accessing these cloud UARM services. The incorporation of cloud UARM for BIM's (Building Information Modeling) 3D visualization of construction layouts does elicit further investigation.

The performance assessment is still in progress. So, for detecting a possible bias of over- and underestimation of the five concepts of image matching due to ARKit, we are investigating two metrics: Mean Absolute Error (MAE) and the non-parametric Spearman's Rank Correlation Coefficient (SRCC).
