Toward automated generation of parametric BIMs based on hybrid video and laser scanning data

Brilakis, Ioannis; Lourakis, Manolis; Sacks, Rafael; Savarese, Silvio; Christodoulou, Symeon E.; Teizer, Jochen; Makhmalbaf, Atefe

doi:10.1016/j.aei.2010.06.006

Cited by 162 publications

(100 citation statements)

References 44 publications

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“…It follows that the GSD, which represents the resolution and the detail of final 3D reconstruction, is: GSD = 1cm/4 = 2,5 mm/pixel, that is each pixel of the image represents 2.5 mm of the actual object detected. While the laser scanning campaign was carried out mostly in target-less mode, registering scans later using cloud-to-cloud algorithms (Brilakis et al, 2010), many circular targets were provisionally placed all over the Villa for photogrammetric purposes (Hajian, 2010). The mutual distance of the pillars gave the decisive geometric constraint, which is equal to 3.60 meters.…”

Section: Terrestrial Laser Scanning and Digital Photogrammetry Of Thementioning

confidence: 99%

From a Point Cloud Survey to a Mass 3d Modelling: Renaissance Hbim in Poggio a Caiano

Bolognesi

Garagnani

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper introduces some studies developed regarding the Medicea Villa at Poggio a Caiano, in Italy. The monumental building was built by Lorenzo de' Medici and his heirs following the design of the famous architect Giuliano da Sangallo, between 1485 and 1520. The Villa embodies many of the typical features of the Italian Renaissance, added a monumental double circular stairway in the front façade during neoclassical times, heading to the upper balcony surrounded by a balustrade. The Villa was surveyed taking advantage of Terrestrial Laser Scanning and Digital Photogrammetry, in order to produce a detailed model to be translated into a HBIM digital prototype then. The Scan-to-BIM approach was obtained with a generation of semantics and components proper of Sangallo's architectural grammar, first of all defining the object, then geometry, and then their parametrization. This process led to a model of the exteriors, used to better understand the architectural composition of the volumes, to make some hypothesis on its shape according to the original architect's drawing in the Taccuino Senese, on its general structural behaviours, to understand the limits of a process and the perspective of a research that goes from a digital survey to the HBIM environment.

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Section: Terrestrial Laser Scanning and Digital Photogrammetry Of Thementioning

confidence: 99%

From a Point Cloud Survey to a Mass 3d Modelling: Renaissance Hbim in Poggio a Caiano

Bolognesi

Garagnani

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Automated reconstruction of 'as-built' building models from remote sensing data, including point cloud data [18] and photogrammetry/videogrammetry data [19,20] is the focus of much ongoing research around the world. To achieve the goal of creating a semantically rich BIM model from the sensing data, collaboration between experts in computer vision and in civil engineering is essential.…”

Section: The Bim Platform Applicationsmentioning

confidence: 99%

A Cloud-Based BIM Platform for Information Collaboration

Ma¹,

Sacks²

2016

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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A cloudbased BIM platform for information collaboration Original CitationMa, Ling and Sacks, Rafael (2016) A cloudbased BIM platform for information collaboration. In: 2016 Proceedings of the 33rd ISARC. ISARC, pp. 581589.This version is available at http://eprints.hud.ac.uk/id/eprint/31383/ The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or notforprofit purposes without prior permission or charge, provided:• The authors, title and full bibliographic details is credited in any copy;• A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way.

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“…Starting from LiDAR data and operating at a larger scale, a method using recursive minimum bounding rectangles has been proposed in [14] for the automatic reconstruction of digital building models exhibiting right-angled corners. Other object recognition and knowledge extraction approaches used in the context of building and scene modelling may be found in [15,16], just to cite a few. On the other hand, an important limitation of the current Capture-to-BIM state of the art concerns the automatic integration of the knowledge extracted from the raw data into a BIM system (managed by a specific data format or specific software), as this subtask has not retained much of the research attention, compared to the large literature available for object recognition.…”

Section: Introduction To Cad and Capture To Bimmentioning

confidence: 99%

BIM models generation from 2D CAD drawings and 3D scans: an analysis of challenges and opportunities for AEC practitioners

Barki¹,

Fadli²,

Shaat³

et al. 2015

WIT Transactions on the Built Environment

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Toward automated generation of parametric BIMs based on hybrid video and laser scanning data

Cited by 162 publications

References 44 publications

From a Point Cloud Survey to a Mass 3d Modelling: Renaissance Hbim in Poggio a Caiano

From a Point Cloud Survey to a Mass 3d Modelling: Renaissance Hbim in Poggio a Caiano

A Cloud-Based BIM Platform for Information Collaboration

BIM models generation from 2D CAD drawings and 3D scans: an analysis of challenges and opportunities for AEC practitioners

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