Abstract
In this paper an approach is proposed for creating realistic models of existing roads adapted to driving simulation. Unlike most previous work, based on generic construction rules, urbanism patterns or sociological behaviour, our approach aims at reproducing existing road networks. First a data model based on a multi-layered graph is presented. This model can handle the three representation levels required by traffic simulation: the road network, the graphical level and the traffic level. In the second part of the paper, a method for modelling existing roads is proposed. The novelty of the approach is the use of existing road data bases to automatically create a virtual environment (3D model and traffic organisation) close to ground truth. An existing 3D GIS data base provides accurate information about road axes, ground and building 3D geometry, whereas a navigation road database helps refining the model by providing clues on network topology and traffic rules. The resulting virtual road system reproduces the real world and has been successfully interfaced with a driving simulator.
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References
Bakolas R (2007) Virtual Urbanity: A parametric tool for the generation of virtual cities. Master’sthesis, University College London, Barlett School of graduate Studies
Boichis N, Viglino J, Cocquerez J (2000) Knowledge based system for the automatic extractionof road intersections from aerial images. In Int. Archives of Photogrammetry, Remote Sensingand Spatial Information Sciences. Vol. 33, Amsterdam, the Netherlands
Carles O, Espie S (2000) Multi-level environments modelling for road simulation. In DrivingSimulation Conference
Décoret X, Sillion F(2002) Street generation for city modelling. In Architectural and Urban AmbientEnvironment
Elberink O, Vosselman G (2006) 3d modelling of topographic objects by fusing 2d maps and lidardata. In Proceedings of the ISPRS TC-IV Intl symp. on : Geospatial databases for sustainabledevelopment, pp. 199–204
Grote A, Butenuth M, Heipke C (2007) Road extraction in suburban areas based on normalizedcuts. In PIA07. Int.l Archives of Photogrammetry, Remote Sensing and Spatial InformationSciences, 36 (3/W49A)
Haunert J.H, Brenner C, Neidhart H (2005) Using a gis system for the generation of drivingsimulator scenes. In Advances in Transportation Studies
Kaussner A, Mark C, Krueger HP, Noltemeier H (2002) Generic creation of landscapes and andmodelling of complex parts of road networks. In Driving Simulation Conference Europe
Koberstein J, Peters H, Luttenberger N (2008) Graph-based mobility model for urban areas fueledwith real world datasets. In Simutools ’08: Proceedings of the 1st int. conf. on Simulationtools and techniques for communications, networks and systems & workshops (ICST,Brussels, Belgium, Belgium, pp. 1–8
Mena J, Malpica J (2005) An automatic method for road extraction in rural and semi-urban areas.Pattern Recognition letters 26, 9, 1201–1220
Parish YIH, Müller P (2001) Procedural modeling of cities. In SIGGRAPH ’01: Proceedings ofthe 28th annual conference on Computer graphics and interactive techniques (New York, NY,USA, ACM, pp. 301–308
Ravanbakhsh M, Heipke C, Pakzad K (2007) Road junction extraction from high- resolution aerialimages. In PIA07.Int. Archives of Photogrammetry, Remote Sensing and Spatial InformationSciences, 36 (3/W49A)
Soheilian B, Paparoditis N, Boldo D, Rudant J (2007) Automatic 3d extraction of rectangularroadmarks with centimeter accuracy from stereo-pairs of a ground-based mobile mappingsystem. In Int. Archives of the Photogrammetry, Remote Sensing and Spatial InformationSciences, vol. XXXVI, Part 5/C55, pp.22-27, Padua, Italy
Shi Y, Shibasaki R, Shi Z (2008) Towards automatic road mapping by fusing vehicle-bornemulti-sensor data. In The Int. Archives of the Photogrammetry, Remote Sensing and SpatialInformation Sciences. Vol. XXXVII. Part B5. Beijing
Tarel JP, Bigorgne E (2009) Long-range road detection for off-line scene analysis. In Proceedingsof IEEE Intelligent Vehicle Symposium (IV’2009), pp. 15–20.http://perso.lcpc.fr/tarel.jean-philippe/publis/iv09.html
Tripp JL, Mortveit HS, Hansson AA, Gokhale M (2005) Metropolitan road traffic simulation onfpgas. In FCCM ’05: Proceedings of the 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, pp. 117–126.
Tournaire O, Paparoditis N (2009) A geometric stochastic approach based on marked point processesfor road mark detection from high resolution aerial images. ISPRS Journal of Photogrammetryand Remote Sensing 64, 6, 621–631.
Zhang M (2009) Method and implementation of road-network matching. PhD, Intitute of Photogrammetry,University of Munich.
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© 2011 Springer-Verlag Berlin Heidelberg
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Despine, G., Baillard, C. (2011). Realistic Road Modelling for Driving Simulators using GIS Data. In: Ruas, A. (eds) Advances in Cartography and GIScience. Volume 2. Lecture Notes in Geoinformation and Cartography(), vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19214-2_29
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DOI: https://doi.org/10.1007/978-3-642-19214-2_29
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