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Maarten Vergauwen ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Van Hauwermeiren, Jeroen / Van Nimmen, Katrien / van den Broeck, Peter / Vergauwen, Maarten (2020): Vision-Based Methodology for Characterizing the Flow of a High-Density Crowd on Footbridges: Strategy and Application. In: Infrastructures, v. 5, n. 6 (June 2020).

    https://doi.org/10.3390/infrastructures5060051

  2. Vincke, Stan / Vergauwen, Maarten (2022): Vison based metric for quality control by comparing built reality to BIM. In: Automation in Construction, v. 144 (December 2022).

    https://doi.org/10.1016/j.autcon.2022.104581

  3. Bassier, Maarten / Yousefzadeh, Meisam / Vergauwen, Maarten (2020): Comparison of 2D and 3D wall reconstruction algorithms from point cloud data for as-built BIM. In: Journal of Information Technology in Construction, v. 25 (October 2020).

    https://doi.org/10.36680/j.itcon.2020.011

  4. Bassier, Maarten / Vergauwen, Maarten (2020): Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data. In: Automation in Construction, v. 120 (December 2020).

    https://doi.org/10.1016/j.autcon.2020.103338

  5. Bassier, Maarten / Bonduel, Mathias / Derdaele, Jens / Vergauwen, Maarten (2020): Processing existing building geometry for reuse as Linked Data. In: Automation in Construction, v. 115 (July 2020).

    https://doi.org/10.1016/j.autcon.2020.103180

  6. Bonduel, Mathias / Wagner, Anna / Pauwels, Pieter / Vergauwen, Maarten / Klein, Ralf (2019): Including Widespread Geometry Schemas Into Linked Data Based BIM Applied to Built Heritage. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 172, n. 1 (March 2019).

    https://doi.org/10.1680/jsmic.19.00014

  7. Bassier, Maarten / Van Genechten, Bjorn / Vergauwen, Maarten (2019): Classification of sensor independent point cloud data of building objects using random forests. In: Journal of Building Engineering, v. 21 (January 2019).

    https://doi.org/10.1016/j.jobe.2018.04.027

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