Towards The Generation of Digital Twins for Facility Management Based on 3D Point Clouds

[1]  Jürgen Döllner,et al.  Server-based rendering of large 3D scenes for mobile devices using G-buffer cube maps , 2012, Web3D '12.

[2]  Sun,et al.  Usage of 3D Point Cloud Data in BIM （Building Information Modelling）： Current Applications and Challenges , 2015 .

[3]  松岡 利昌,et al.  ファシリティマネジメントハンドブック = The facility management handbook , 1992 .

[4]  Tania Landes,et al.  From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings , 2017 .

[5]  Burcu Akinci,et al.  Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data , 2011 .

[6]  Frank Schultmann,et al.  Building Information Modeling (BIM) for existing buildings — Literature review and future needs , 2014 .

[7]  John P. Isaacs,et al.  Scan To BIM: The Development Of A Clear Workflow For The Incorporation Of Point Clouds Within A BIM Environment , 2015 .

[8]  Nan Li,et al.  Application Areas and Data Requirements for BIM-Enabled Facilities Management , 2012 .

[9]  Shi-Min Hu,et al.  3D indoor scene modeling from RGB-D data: a survey , 2015, Computational Visual Media.

[10]  Sheryl Staub-French,et al.  Construction Quality Assessment Using 3D as-built Models Generated with Project Tango , 2016 .

[11]  Xiangyu Wang,et al.  A theoretical framework of a BIM-based multi-disciplinary collaboration platform , 2011 .

[12]  Markus Damm,et al.  Systems Engineering as an Enabler for Future Innovation , 2017 .

[13]  Matthias Trapp,et al.  A service-oriented approach for classifying 3D points clouds by example of office furniture classification , 2018, Web3D.

[14]  Didier Stricker,et al.  Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet , 2015, IEEE Computer Graphics and Applications.

[15]  Ke Chen,et al.  Automatic Generation of Semantically Rich As‐Built Building Information Models Using 2D Images: A Derivative‐Free Optimization Approach , 2018, Comput. Aided Civ. Infrastructure Eng..

[16]  Subhransu Maji,et al.  Multi-view Convolutional Neural Networks for 3D Shape Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[17]  Alasdair Gilchrist.  Industry 4.0 , 2016, Apress.

[18]  Salman Azhar,et al.  An Investigation of Google Tango® Tablet for Low Cost 3D Scanning , 2017 .

[19]  Anh Nguyen,et al.  3D point cloud segmentation: A survey , 2013, 2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM).

[20]  Stephen R. Lockley,et al.  BIM in facilities management applications: a case study of a large university complex , 2015 .

[21]  Jürgen Döllner,et al.  Out-of-Core Visualization of Classified 3D Point Clouds , 2015 .

[22]  David J. Edwards,et al.  Vision and advocacy of optoelectronic technology developments in the AECO sector , 2017 .

[23]  Burcu Akinci,et al.  Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST , 2010 .

[24]  Paul M. Teicholz,et al.  BIM for facility managers , 2013 .

[25]  Kasper Hornbæk,et al.  Big data from the built environment , 2011, LARGE '11.

[26]  Matthias Trapp,et al.  COMPARATIVE VISUALIZATION OF BIM GEOMETRY AND CORRESPONDING POINT CLOUDS , 2018 .

[27]  Karen Kensek,et al.  BIM Guidelines Inform Facilities Management Databases: A Case Study over Time , 2015 .

[28]  Reinhard Klein,et al.  Automatic reconstruction of parametric building models from indoor point clouds , 2016, Comput. Graph..