Advertisement

Different Quality Level Processes and Products for Ground-based 3D City and Road Modeling

  • Bahman Soheilian
  • Olivier Tournaire
  • Lionel Pénard
  • Nicolas Paparoditis
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

This paper proposes ideas and some solutions for providing different quality level processes and products of a ground-based Mobile Mapping Data Collection System (MMDCS) for 3D city and road modelling. The primary products are image-based databases with different georeferencing qualities. Then cooperative applications of terrestrial and aerial images for higher level processes such as road-marks extraction and building reconstruction are discussed. We will also show that an image database is of great potential to improve quality of positioning in autonomous navigation applications.

Keywords

3D city modelling Mobile mapping Georeferenced image database Road modelling Façade modelling Autonomous navigation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Flamanc, D., Maillet, G., Jibrini, H., 3D City Models: An Operational Approach Using Aerial Images and Cadastral Maps. In IAPRS, Vol. 34, Part 3/W8, Munich (1998).Google Scholar
  2. 2.
    Paparoditis, N., Bentrah, O., Pénard, L., Tournaire, O., Soheilian, B., Deveau, M, Automatic 3D recording and modeling of large scale cities: the ARCHIPOLIS project. In Recording, Modeling and visualisation of cultural heritage. ASCONA (2005).Google Scholar
  3. 3.
    Zhao, H, Shibasaki, R, Reconstructing textured cad model of urban environment using vehicle-borne laser range scanners and line cameras. In proceedings of ICVS’ 01, pages284–297. Springer-Verlag (2001).Google Scholar
  4. 4.
    Paparoditis, N., Thom, C., Jibrini, H, Surface reconstruction in urban areas from multiple view of aerial digital frame. IAPRS, Vol. 33, Part B3 (supplement): 43–50 (2000).Google Scholar
  5. 5.
    Tournaire, O., Soheilian, B., Paparoditis, N., Towards a sub-decimetric georeferencing of ground-based mobile mapping systems in urban areas: matching ground-based and aerial imagery using road-marks. IAPRS, proceedings of ISPRS Commision I Symposium, Paris, France (2006).Google Scholar
  6. 6.
    Zhang, C, Updating of cartographic road databases by image analysis. PhD Thesis, Institut für Geodäsie und Photogrammetrie, Zurich (2003).Google Scholar
  7. 7.
    Hinz, S, Automatische extraction urbaner straßennetze aus luftbildern, Dissertationen, Deutsche Geodätische Kommission (2004).Google Scholar
  8. 8.
    Tournaire, O., Paparoditis, N., Jung, F., Cervelle, B, 3D road-marks reconstruction from multiple calibrated aerial images. IAPRS & SIS, proceedings of ISPRS Commision III Symposium, PCV06, Bonn, Germany (2006).Google Scholar
  9. 9.
    Soheilian, B., Paparoditis N., Boldo, D., Rudant, J.P., 3D reconstruction of zebra crossing from stereo rig images of a ground-based mobile mapping system. Proceedings of ISPRS Commision V Symposium, ‘image Engineering and Vision Metrology’, Dresden, Germany (2006).Google Scholar
  10. 10.
    Remazeilles, A., Chaumette, F., Gros, P., Robot motion control from a visual memory, In IEEE ICRA’04, Vol. 4, pp 4695–4700, (2004).Google Scholar
  11. 11.
    Royer, E., Bom, J., Dhome, M., Thuillot, B., Lhuillier, M., Marmoiton, F., Outdoor autonomous navigation using monocular vision. IEEE/RSJ IROS2005, pages 3395–3400, Edmonton, Canada, (2005).Google Scholar
  12. 12.
    Bertozzi, M., Broggi, A., GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Tr. Im.Proc. 7(1), 62–81 (1998).CrossRefGoogle Scholar
  13. 13.
    Böhm, J., Haala, N., Kapusy, P., Automated appearance-based building detection in terrestrial images. IAPRS, Volume XXXIV, Part 5, ISPRS Commission V Symposium, Corfu, 491–495 (2002).Google Scholar
  14. 14.
    Pénard, L., Paparoditis, N., Pierrot-Deseilligny, M., 3D building facade reconstruction under mesh form from multiple wide angle views. Proceedings of the ISPRS Working Group V/4 Workshop 3D-ARCH, Venice, Italy (2005).Google Scholar
  15. 15.
    Roy, S., Cox., I., A maximum-flow formulation of the n-camera stereo correspondence problem. International Conference on Computer Vision (1998).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bahman Soheilian
    • 1
    • 2
  • Olivier Tournaire
    • 1
    • 2
  • Lionel Pénard
    • 1
  • Nicolas Paparoditis
    • 1
  1. 1.Laboratoire MATISInstitut Géographique NationalSaint-Mandé CedexFrance
  2. 2.Laboratoire Géomatériaux et Géologie de l’IngénieurUniversité de Marne-La-ValléeMarne la ValléeFrance

Personalised recommendations