Automatic As-built Digital Twin
Key to effective facilities management and visions like Smart Cities or Digital Britain is the availability of reliable Digital Twins of built environment assets (buildings, infrastructure industrial complexes). Such semantically-rich 3D models are important to support Operations and Maintenance activities, particularly when robots are to be deployed (e.g. to operate a valve or simply navigate some environments during dangerous or emergency operations).
However, while these assets may be designed with care and detail, their actual construction often results in changes that must be recorded in the Digital Twin that then reflects the as-built state of the facility. Detecting such variations is a challenge and recording them is often not done at all or requires significant work and capital. Some methods (and commercial software) have been proposed to process point cloud data of as-built assets to generate digital twins, but these are very limited in capacity and level of automation.
Method: the project will aim to interpret coloured point clouds of a facility given a design model to identify and correct small and large discrepancies. This will be achieved by integrating Scan-to-BIM  and Scan-vs-BIM . In particular, the approach shall uniquely integrate geometry, topological, and wider semantic analysis.
Evaluation: We have access to a number of case study point clouds that can be provided by the company Scan&BIM in Ireland (that works in this area), as well as other interested construction organisations, such as Laing O’Rourke, Jacobs and AECOM (who demand such services).
 Murali S., Speciale P., Oswald M. R., Pollefeys M. (2017), “Indoor Scan2BIM: Building Information Models of House Interiors”, IEEE/RSJ Proceedings of IROS, 2017. [pdf]
 Bosché F., Ahmed, M., Turkan, Y., Haas, C., Haas, R. (2015), "The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components", Automation in Construction, Vol. 49, pp. 201-213. [pdf]