There is growing demand for techniques and processes that can effectively deliver Building Information Models, or BIM Models, reflecting the as-is state of facilities. With the increase availability of affordable and powerful surveying technologies, such as laser scanning and photogrammetry, the geometry (and some non-geometric properties) of assets can be captured at high quality and speed. The generation of BIM models from that data is commonly called Scan-to-BIM and remains a challenge, with significant expert input required to generate meaningful models.

The CyberBuild has long been working on algorithms aimed at automating Scan-to-BIM processes, mainly of building interiors. In collaboration with other research labs, we have worked on the automated modelling of `structural' elements (walls, columns), openings (windows, doors) and more recently what we refer to as `secondary' elements (e.g. sockets, switches, fire safety equipment and signage, etc.). We conducted our work as part of the H2020 funded projects BIMERR and COGITO, as well as the project SurveyTek. SurveyTek is a collaboration with Fixzy Assist (with funding from CENSIS) to develop AI models for moisture-related defect detection in indoor images. With data provided by Fixzy Assist, the University developed and compared machine learning (ML) models for image classification. The model was subsequently enhanced for defect detection and is being integrated in Fixzy Assist's app.

Academic Publications

Year	Authors, date, title and journal	PDF	web
2024	Malihi S., Bosché, F. and Bueno Esposito, M. (2024), "Integrating Surface Converage, Distance and Distribution for Quantifying Scan-to-BIM Confidence Level", Proceedings of ISPRS Technical Commission IV Symposium 2024, Perth, Australia.		web
-	Schönfelder* P., Aziz A., Bosché F., König M. (2024), "Enriching BIM models with fire safety equipment using keypoint-based symbol detection in escape plans", Automation in Construction, 162:105382.		web
-	Pecur T., Bosché F., Cerniauskas G., Mill F., Sherlock A. and Nan Y. (2024). "Prototype pipeline modelling using interval scanning point clouds", Advances in Manufacturing, (accepted).		web
-	Corneli A., Vaccarini M., Bosché F., Naticchia B. and Carbonari A. (2024). "Combining MR and Edge AI for Real-Time Survey of Building Assets", Automation in Construction, (under review).		web
2023	Malihi S., Bosché, F. and Bueno Esposito, M. (2023), "Quantifying the Confidence in Models Outputted by Scan-to-BIM Processes", Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality , Florence, Italy.		web
2022	Valero, E., Bosché, F. and Bueno Esposito, M. (2022), "Laser Scanning for BIM", Journal of Information Technology in Construction, Vol. 27, pp. 486-495.		web
2021	Valero, E., Mohanty D., Ceklarz M., Tao B., Bosché, F., Giannakis G., Fenz S., Katsigarakis K., Lilis G., Rovas D. and Papanikolaou A. (2021), "An Integrated Scan-to-BIM Approach for Buildings Energy Performance Evaluation and Retrofitting", Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021, pp. 204-211.		web
-	Kufuor, J., Mohanty, D., Valero, E. and Bosché, F. (2021), "Automatic MEP Component Detection with Deep Learning", PRAConBE Workshop, in conjunction with ICPR 2020, Milan, Italy.		web
2020	Adan A., Quintana B., Prieto S.A., Bosché F. (2020), "An autonomous robotic platform for automatic extraction of detailed semantic models of buildings", Automation in Construction, Vol. 109, 102963.	PDF	web
-	Valero, E., Mohanty, D. & Bosché, F. (2020), "Development of an open-source Scan+BIM Platform", 37th International Symposium on Automation and Robotics in Construction (ISARC), Kitakyushu, Japan, pp. 223-232.		web
-	Corneli, A., Naticchia, B., Bosché, F. & Carbonari, A., (2020), "Training of YOLO Neural Network for the Detection of Fire Emergency Assets", 37th International Symposium on Automation and Robotics in Construction (ISARC), Kitakyushu, Japan, pp. 836-843..		web
2018	Adan A., Quintana B., Prieto S.A., Bosché F. (2018), "Scan-to-BIM for ‘secondary’ building components", Advanced Engineering Informatics, Vol. 37, pp. 119-138.	PDF	web
-	Quintana B., Prieto S.A., Adan A., Bosché F. (2018), "Door Detection in 3D Coloured Point Clouds of Interior Environments", Automation in Construction, Vol. 85, pp. 146-166.	PDF	web
2017	Quintana B., Prieto S., Adán A., Bosché F. (2017), " Scan-To-BIM for Small Building Components", Lean and Computing in Construction Congress (LC3): Volume I – Proceedings of the Joint Conference on Computing in Construction (JC3), Heraklion, Greece, Jul 4-7 (Best Paper Award)		web
2016	Quintana, B., Prieto, S., Adán, A., Bosché, F. (2016), "Detección de Puertas en Nubes de Puntos 3D con Color para Navegación Autónoma en Interiores", Jornadas de Automática, UNED, Madrid, Spain, Sep 7-9.	PDF	web
-	Quintana, B., Prieto, S., Adán, A., Bosché, F. N. (2016), "Door Detection in 3D Colored Laser Scans for Autonomous Indoor Navigation", Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN), Alcalá de Henares, Spain, Oct 4-7.	PDF	web
2015	Valero E., Adan A., Bosché F. (2015), "Semantic 3D Reconstruction of Furnished Interiors using Laser Scanning and RFID Technology", ASCE Journal of Computing in Civil Engineering. 04015053.	PDF	web
-	Son H., Bosché F., Kim C. (2015), "As-built data acquisition and its use for production monitoring and automated layout in civil infrastructure: a survey", Advanced Engineering Informatics, Vol. 29, pp. 172-183.	PDF	web
2004	Kwon S.-W., Bosché F., Kim C., Haas C. T., Liapi K. A. (2004), "Fitting range data to primitives for rapid local 3D modeling using sparse range point clouds", Automation in Construction, Vol. 13(1), pp. 67-81.	PDF	web
2003	Bosché F., Kim C., Kwon S., Haas C.T., Liapi K.A. (2003), "Primitives merging for rapid 3D modeling", 20th Annual International Symposium for Automation and Robotics in Construction (ISARC), Eindhoven, the Netherlands, September 21-23, pp. 389-392.		web
-	Kwon S., Liapi K.A., Haas C.T., and Bosché F. (2003), "Algorithms for fitting cylindrical objects to sparse range point clouds for rapid workspace modeling", 20th Annual International Symposium for Automation and Robotics in Construction (ISARC), Eindhoven, the Netherlands, September 21-23, pp. 173-178.		web

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