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Revision of Automation Methods for Scan to BIM

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Advances in Design Engineering (INGEGRAF 2019)

Abstract

Nowadays in the BIM (Building Information Modelling) world there are several functions that are not fully developed. It is well known that, during the last years, BIM methodology, is being implemented more and more around the world and we are witnessing the benefits that can provide. Despite having plenty of benefits for engineering, there is a problem that it has not been solved yet: the correct extraction and/or recognition of the physical space represented by a point cloud, to create an accurate BIM model, which is better known as Scan to BIM. Scan to BIM, is a handwork methodology where the user tries to convert a point cloud, which can be obtained using different reality capture devices, into a 3D model by means of a BIM software. The problem is that the process is almost entirely manual, so taking into consideration the significant amount of time spent to represent complicated geometries, Scan to BIM can become a very hard work and time-consuming work. We will show in this paper some methods that are currently available to automate the process of Scan to BIM, which allows to partially reduce the manual work of the person responsible of this task. Additionally, this will make it possible to obtain a much more complete product than if it had been made without any automation, as well as to reduce consumed time to make the model.

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References

  1. Dore, C., Murphy, M.: Semi-automatic generation of as-built BIM façade geometry from laser and image data. Electron. J. Inf. Technol. Constr. 19, 20–46 (2014)

    Google Scholar 

  2. Schnabel, R., Wahl, R., Klein, R.: Efficient RANSCAC for point-cloud shape detection. In: Computer Graphics Forum, pp. 214–226. Blackwell Publishing Ltd., Oxford (2007). https://doi.org/10.1111/j.1467-8659.2007.01016.x

  3. Dimitrov, A., Golparvar-Fard, M.: Segmentation of building point cloud models including detailed architectural/structural features and MEP systems. Autom. Constr. 51, 32–45 (2015). https://doi.org/10.1016/j.autcon.2014.12.015

    Article  Google Scholar 

  4. Huber, D., Akinci, B., Stambler, A., Xiong, X., Anil, E., Adan, A.: Methods for automatically modelling and representing as-built building information models. In: Proceedings of the 2011 NSF Engineering Research and Innovation Conference, Atlanta, Georgia (2011)

    Google Scholar 

  5. Oesau, S., Lafarge, F., Alliez, P.: Indoor scene reconstruction using feature sensitive primitive extractions and graph-cut. ISPRS J. Photogramm. Remote. Sens. 90, 68–82 (2014). https://doi.org/10.1016/j.isprsjprs.2014.02.004

    Article  Google Scholar 

  6. Khoshelham, K., Díaz-Vilariño, L.: 3D modelling of interior spaces: learning the language of indoor architecture. In: Proceedings of the ISPRS Technical Commission V Symposium, Riva del Garda, Italy, vol. XL-5, pp. 321–326 (2014). https://doi.org/10.5194/isprsarchives-XL-5-321-2014

  7. Ochmann, S., Vock, R., Wessel, R., Tamke, M., Klein, R.: Automatic generation of structural building descriptions from 3D point cloud scans. In: Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (GRAPP), Lisbon, Portugal (2014)

    Google Scholar 

  8. Thomson, C., Boehm, J.: Automatic geometry generation from point clouds for BIM. Remote Sens. 7(9), 11753–11775 (2015). https://doi.org/10.3390/rs70911753

    Article  Google Scholar 

  9. Valero, E., Adán, A., Cerrada, C.: Automatic method for building indoor boundary models from dense point clouds collected by laser scanners. Sensors 12(12), 16099–16115 (2012). https://doi.org/10.3390/s121216099

    Article  Google Scholar 

  10. Jung, J., Stachniss, C., Ju, S., Heo, J.: Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM. Adv. Eng. Inform. 38, 811–825 (2018). https://doi.org/10.1016/j.aei.2018.10.007

    Article  Google Scholar 

  11. Ochmann, S., Vock, R., Wessel, R., Klein, R.: Automatic reconstruction of parametric building models from indoor point clouds. Comput. Graph. 54, 94–103 (2016). https://doi.org/10.1016/j.cag.2015.07.008

    Article  Google Scholar 

  12. Hong, S., Jung, J., Kim, S., Cho, H., Lee, J., Heo, J.: Semi-automated approach to indoor mapping for 3D as-built building information modelling. Comput. Environ. Urban Syst. 51, 34–46 (2015). https://doi.org/10.1016/j.compenvurbsys.2015.01.005

  13. Previtali, M., Barazzetti, L., Brumana, R., Scaioni, M.: Towards automatic indoor reconstruction of cluttered building rooms from point clouds. In: Proceedings of the ISPRS Technical Commission V Symposium, Riva del Garda, Italy, vol. II-5, pp. 281–288 (2014). https://doi.org/10.5194/isprsannals-II-5-281-2014

  14. Xiong, X., Adan, A., Akinci, B., Huber, D.: Automatic creation of semantically rich 3D building models from laser scanner data. Autom. Constr. 31, 325–337 (2013). https://doi.org/10.1016/j.autcon.2012.10.006

    Article  Google Scholar 

  15. Douglas, D.H., Peucker, T.K.: Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Int. J. Geogr. Inf. Geovis. 10(2), 112–122 (1973). https://doi.org/10.3138/FM57-6770-U75U-7727

    Article  Google Scholar 

  16. Nguyen, T.H., Oloufa, A.A., Nassar, K.: Algorithms for automated deduction of topological information. Autom. Constr. 14(1), 59–70 (2005). https://doi.org/10.1016/j.autcon.2004.07.015

    Article  Google Scholar 

  17. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 1–27 (2011). https://doi.acm.org/10.1145/1961189.1961199

  18. Pu, S., Vosselman, G.: Extracting windows from terrestrial laser scanning. In: ISPRS Workshop on Laser Scanning, pp. 320–325 (2007)

    Google Scholar 

  19. Böhm, J., Becker, S., Haala, N.: Model refinement by integrated processing of laser scanning and photogrammetry. In: Proceedings of 3D Virtual Reconstruction and Visualization of Complex Architectures, Zurich, Switzerland (2007)

    Google Scholar 

  20. Faber, P., Fischer, B.: How can we exploit typical architectural structures to improve model recovery? In: 3D Data Processing Visualization and Transmission, pp. 824–833 (2002)

    Google Scholar 

  21. Adán, A., Quintana, B., Prieto, S.A., Bosché, F.: Scan-to-BIM for ‘secondary’ building components. Adv. Eng. Inform. 37, 119–138 (2018). https://doi.org/10.1016/j.aei.2018.05.001

    Article  Google Scholar 

  22. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679–698 (1986). https://doi.org/10.1109/TPAMI.1986.4767851

    Article  Google Scholar 

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Correspondence to Cristina Manchado del Val .

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López Iglesias, J. et al. (2020). Revision of Automation Methods for Scan to BIM. In: Cavas-Martínez, F., Sanz-Adan, F., Morer Camo, P., Lostado Lorza, R., Santamaría Peña, J. (eds) Advances in Design Engineering. INGEGRAF 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-41200-5_53

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  • DOI: https://doi.org/10.1007/978-3-030-41200-5_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41199-2

  • Online ISBN: 978-3-030-41200-5

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