Geobim benchmark 2019: Design and initial results

F. Noardo (Corresponding author), K. Arroyo Ohori, F. Biljecki, T. Krijnen, C. Ellul, L. Harrie, J. Stoter

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelpeer review

23 Citaten (Scopus)
222 Downloads (Pure)

Samenvatting

GeoBIM, the integration of 3D geoinformation (Geo) with building information models (BIM), is a subject of increasing attention in both domains. A well-known practical challenge for this integration is the mixed state of software support for open standards in each domain that would ease the integration. This is often known by practitioners but poorly documented. In order to solve this problem, we devised the GeoBIM benchmark, in which we compile the experiences of volunteering participants, who perform a guided study to test the software they are most familiar with against a few provided datasets structured in open standards. The aim of the tests is to improve the knowledge of the state of the art in the software support for GeoBIM open standards and to identify points for improvement. In this paper, we present the design of the benchmark, especially explaining and discussing the chosen data to be used with their connected issues to be tested, and some initial results.

Originele taal-2Engels
Pagina's (van-tot)1339-1346
Aantal pagina's8
TijdschriftInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume42
Nummer van het tijdschrift2/W13
DOI's
StatusGepubliceerd - 4 jun. 2019
Evenement4th ISPRS Geospatial Week 2019 - Enschede, Nederland
Duur: 10 jun. 201914 jun. 2019

Financiering

This work was possible thanks to the collaboration of the whole GeoBIM benchmark team and advisory board (with their work as in-kind contribution to the project), all the data providers, the students of the course ‘Datasets and quality’ at the Delft University of Technology, MSc in Geomatics (2018-2019), who ran most of the initial tests, to the ISPRS and EuroSDR funding. This project has also received funding from the European Research Council (ERC) under the European Unions Horizon2020 Research & Innovation Programme (grant agreement no. 677312 Urban modelling in higher dimensions).

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