Publications du COGIT

StreetGen: in-base procedural-based road generation

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, Volume II-3/W5, page 409--416 - 2015

Streets are large, diverse, and used for conflicting transport modalities as well as social and cultural activities. Proper planning is essential and requires data. Manually fabricating data that represent streets (street reconstruction) is error-prone and time consuming. Automatising street reconstruction is a challenge because of the diversity, size, and scale of the details (~cm for cornerstone) required. The state-of-the-art focuses on roads and is strongly oriented by each application (simulation, visualisation, planning). We propose a unified framework that works on real Geographic Information System (GIS) data and uses a strong, yet simple hypothesis when possible to produce coherent street modelling at the city scale or street scale. Because it is updated only locally in subsequent computing, the result can be improved by adapting input data and the parameters of the model. We reconstruct the entire Paris streets in a few minutes and show how the results can be edited simultaneously by several concurrent users.

Références BibTex

@InProceedings\{Cura15a,
  author       = "Cura, R. and Perret, Julien and Paparoditis, N.",
  title        = "StreetGen: in-base procedural-based road generation",
  booktitle    = "ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences",
  volume       = "II-3/W5",
  pages        = "409--416",
  year         = "2015",
  keywords     = "StreetGen, Street Modeling, RDBMS, Road Network, GIS database, kinetic hypothesys, Variable Buffer",
}
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