HDS | Historic Digital Survey

Advanced technology for surveying and maintaining the historic built environment.

In collaboration with Historic Environment Scotland, we investigate various new reality capture technologies for supporting building surveyors in pro-active maintenance surveys. We also develop new algorithms to extract valuable information from this survey data. One of these is available as a plugin to CloudCompare (see below).

Videos

This video shows some results we have achieved for automatically segmenting ashlar and rubble masonty walls. While not easily shown, one important aspect of our approach, particularly for rubble walls, is that it doesn't assume that the wall is flat/planar.

Masonry Segmentation CloudCompare Plugin

The Masonry Segmentation CloudCompare Plugin, which is a plugin for CloudCompare that enables the segmentation of dense point clouds (principally from laser scanning) of masonry structures into their individual stones. The plugin, distributed under the GPLv2 license, can be found here.

Academic Publications

Year Authors, date, title and journal PDF web
2024 Kennedy C., Penman M., Watkinson D., Emmerson N., Thickett D., Bosché F., Forster A., Grau-Bové K., Cassar M. (2024), "Beyond Heritage Science: A Review", Heritage, 7(3):1510-1538. Open Access logo PLoS transparent.svg web
- Li J., Tao B., Bosché F., Lu C., Wilson L. (2024), "Extracting roof sub-components from orthophotos using deep-learning -based semantic segmentation", Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC), pp. 675-682, Lille, France. Open Access logo PLoS transparent.svg web
2023 Forster A., Valero E., Bosché F., Hyslop E., Wilson L. (2023), "Digital Toolkit to Assist the Interpretation of Traditional Masonry Construction", International Journal of Architectural Heritage, 18(5):725-739. Open Access logo PLoS transparent.svg web
- Li J., Bosché F., Lu C., Wilson L. (2023), "Occlusion-free Orthophoto Generation for Building Roofs Using UAV Photogrammetric Reconstruction and Digital Twin Data", Proceedings of the 40th International Symposium on Automation and Robotics in Construction (ISARC), pp. 371-378, Chennai, India. Open Access logo PLoS transparent.svg web
2020 Valero E., Bosché F., Forster A., M'Beirick I., Wilson L., Turmel A., Hyslop E. (2020), "Development of a novel open tool for the segmentation of 3D point clouds of masonry walls", STONE 2020, Germany. PDF  
2019 Valero E., Bosché F., Forster A., Hyslop E., Wilson L., & Turmel A. (2019), "Automated Defect Detection and Classification in Ashlar Masonry Walls using Machine Learning", Automation in Construction, Vol. 106, 102846. PDF web
2018 Valero, E., Bosché, F. & Forster, A., (2018), "Automatic Segmentation of 3D Point Clouds of Rubble Masonry Walls, and its Application to Building Surveying, Repair and Maintenance", Automation in Construction, Vol. 96, pp. 29-39. PDF web
- Valero, E., Bosché, F., Forster, A., Hyslop, E. (2018). "Historic Digital Survey: Reality Capture and Automatic Data Processing for the Interpretation and Analysis of Historic Architectural Rubble Masonry", 11th International Conference on Structural Analysis of Historical Constructions (SAHC 2018), Cusco, Peru, Sep 11-13 PDF web
- Valero, E., Forster, A., Bosché, F., Renier, C., Hyslop, E., Wilson, L. (2018). "High Level-of-Detail BIM and Machine Learning for Automated Masonry Wall Defect Surveying", 35th International Symposium on Automation and Robotics in Construction (ISARC 2018), Berlin, Germany, Jul 20-25. Best Paper Award Open Access logo PLoS transparent.svg web
2017 Valero, E., Bosché, F. N., Forster, A. M., Wilson, L., Leslie, A. (2017), "Evaluation of Historic Masonry: Towards Greater Objectivity and Efficiency", Book chapter in Heritage Building Information Modelling, 280 pages, Routledge. PDF web
2016 Valero, E., Bosché, F. N., Forster, A. M., Wilson, L., Leslie, A. (2016), "Comparison of 3D Reality Capture Technologies for the Survey of Stone Walls", Arqueológica 2.0, Valencia, Spain, Sep 5-7. PDF web

Books and Technical Reports

Year Title, authors, details PDF web
2022 Bosché, F., Forster, A. M., Valero, E. (2022), "Technical Paper 38 - Digital documentation, computer vision and machine learning for masonry surveying and maintenance ", 40 pages,Technical Report prepared for Historic Enrivonment Scotland.. Open Access logo PLoS transparent.svg web
2017 Valero, E., Bosché, F. N., Forster, A. M., Wilson, L., Leslie, A. (2017), "Evaluation of Historic Masonry: Towards Greater Objectivity and Efficiency", Book chapter in Heritage Building Information Modelling, 280 pages, Routledge. PDF web
2015 Bosché F., Forster A., Valero E. (2015), 3D Surveying Technologies and Applications: Point Clouds and Beyond. Technical Report prepared for Historic Enrivonment Scotland. PDF  

Professional and Public Publications

Year Authors, title and date Link
2024 Forster A. M., Bosché F., "Historic Digital Survey: Conservation in the Age of the Fourth (Digital) Industrial Revolution", Institute for Historic Conservation (IHBC) Yearbook 2024, p. 42-44, June 2024. link
2020 Forster A. M., Bosché F., Valero E., Hzslop E., Wilson L. & Turmel A., "Digital Detectives", RICS Built Environment Journal, p. 22-24, June/July 2020. link
2019 Forster A. M., Bosché F. & Valero E., "The changing face of conservation", RICS Built Environment Journal, p. 52-53, February/March 2019. link
2017 RICS Building Conservation Journal, "3D Survey Technologies - Point Clouds and Beyond", May/June 2017. link

Invited Talks

Year Talk details Link
2019 BIM4Heritage, "Historic Digital Survet", May/June 2017.  

Awards

Year Details
2018 Best Paper at the 2018 International Symposium on Automation and Robotics in Construction (ISARC) for the paper "High Level-of-Detail BIM and Machine Learning for Automated Masonry Wall Defect Surveying".

Partners

Historic Environment Scotland
 
Advanced technology for surveying and maintaining the historic built environment
Advanced technology for surveying and maintaining the historic built environment