Generation of multi-LOD 3D city models in CityGML with the procedural modelling engine Random3Dcity

Filip Biljecki, Hugo Ledoux, Jantien Stoter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

14 Citations (Scopus)
28 Downloads (Pure)

Abstract

The production and dissemination of semantic 3D city models is rapidly increasing benefiting a growing number of use cases. However, their availability in multiple LODs and in the CityGML format is still problematic in practice. This hinders applications and experiments where multi-LOD datasets are required as input, for instance, to determine the performance of different LODs in a spatial analysis. An alternative approach to obtain 3D city models is to generate them with procedural modelling, which is – as we discuss in this paper – well suited as a method to source multi-LOD datasets useful for a number of applications. However, procedural modelling has not yet been employed for this purpose. Therefore, we have developed RANDOM3DCITY, an experimental procedural modelling engine for generating synthetic datasets of buildings and other urban features. The engine is designed to produce models in CityGML and does so in multiple LODs. Besides the generation of multiple geometric LODs, we implement the realisation of multiple levels of spatiosemantic coherence, geometric reference variants, and indoor representations. As a result of their permutations, each building can be generated in 392 different CityGML representations, an unprecedented number of modelling variants of the same feature. The datasets produced by RANDOM3DCITY are suited for several applications, as we show in this paper with documented uses. The developed engine is available under an open-source licence at Github at http://github.com/tudelft3d/Random3Dcity.
Original languageEnglish
Title of host publication1st international conference on smart data and smart cities, 30th UDMS, 7–9 September 2016, Split, Croatia
EditorsS. Zlatanova, R. Laurini, M. Baucic, M. Rumor, C. Ellul, V. Coors
PublisherISPRS
Pages51-59
Number of pages9
VolumeIV-4/W1
ISBN (Electronic)2194-9050
ISBN (Print)2194-9042
DOIs
Publication statusPublished - 25 Aug 2016
Event1st International Conference on Smart Data and Smart Cities: 30th UDMS - Split, Croatia
Duration: 7 Sep 20169 Sep 2016
Conference number: 30

Publication series

NameISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
PublisherCopernicus Publications
VolumeIV-4/W1
ISSN (Print)2194-9042
ISSN (Electronic)2194-9050

Conference

Conference1st International Conference on Smart Data and Smart Cities
Abbreviated titleUDMS
CountryCroatia
CitySplit
Period7/09/169/09/16

Keywords

  • Procedural modelling
  • CityGML
  • Level of detail (LOD)
  • Multi-Scale

Fingerprint Dive into the research topics of 'Generation of multi-LOD 3D city models in CityGML with the procedural modelling engine Random3Dcity'. Together they form a unique fingerprint.

  • Cite this

    Biljecki, F., Ledoux, H., & Stoter, J. (2016). Generation of multi-LOD 3D city models in CityGML with the procedural modelling engine Random3Dcity. In S. Zlatanova, R. Laurini, M. Baucic, M. Rumor, C. Ellul, & V. Coors (Eds.), 1st international conference on smart data and smart cities, 30th UDMS, 7–9 September 2016, Split, Croatia (Vol. IV-4/W1, pp. 51-59). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. IV-4/W1). ISPRS. https://doi.org/10.5194/isprs-annals-IV-4-W1-51-2016