Informed Virtual Geographic Environments: An accurate topological approach

Proceedings of the International Conference on Advanced Geographic Information Systems and Web Services, GEOWS 2009

Volumn , Issue , 2009, Pages 1-6

  Paris, Sébastien ^a   Mekni, Mehdi ^a   Moulin, Bernard ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

Geographic information systems; Simulation; Virtual reality

Indexed keywords

DATA ACCURACIES; GEOGRAPHIC DATUM; GIS DATUM; GRID-BASED; MULTIPLE DATUM; SEMANTIC INFORMATIONS; SIMULATION; SIMULATION APPLICATIONS; TOPOLOGICAL APPROACHES; TOPOLOGICAL MODELS; VIRTUAL GEOGRAPHIC ENVIRONMENTS; VISUALISATION;

GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; INFORMATION THEORY; THREE DIMENSIONAL; WEB SERVICES;

VIRTUAL REALITY;

EID: 63749088649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEOWS.2009.10     Document Type: Conference Paper

References (12)

1. R. Andersen, J. L. Berrou, and A. Gerodimos. On some limitations of grid-based pedestrian simulation models. In First International Workshop on Crowd Simulation (V-Crowds'05). VRlab, EPFL, 2005.
2. J. Gong and L. Hui. Virtual geographical environments: Concept, design, and applications. In International Symposium on Digital Earth (ISDE), pages 369-375, Beijing, China, November 29 - December 2 1999.
3. M. Kallmann, H. Bieri, and D. Thalmann. Fully dynamic constrained delaunay triangulations. Geometric Modelling for Scientific Visualization, 2003.
4. F. Lamarche and S. Donikian. Crowds of virtual humans: a new approach for real time navigation in complex and structured environments. Computer Graphics Forum, Eurographics'04, 2004.
5. B. Moulin,W. Chaker, J. Perron, P. Pelletier, J. Hogan, and E. Gbei. MAGS Project: Multi-agent geosimulation and crowd simulation. In W. Kuhn and T. (edts.), editors, COSIT'03 Conference Spatial Information Theory, volume 2825, Ittingen (Switzerland), 2003. Springer Verlag LNCS.
6. S. Nabil, M. Mehdi, and M. Bernard. A multi-agent geo-simulation approach for the identification of risky areas for trains. In 5th Workshop on AGENTS IN TRAFFIC AND TRANSPORTATION @ Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008.
7. Open Source Geospatial Fundation (OSGEO). GDAL-OGR: Geospatial Data Abstraction Library / Simple Features Library Software, Aug. 2008. http://www.gdal.org.
8. S. Paris, S. Donikian, and N. Bonvalet. Towards more realistic and efficient virtual environment description and usage. In First International Workshop on Crowd Simulation (V-Crowds'05). VRlab, EPFL, 2005.
9. S. Paris, S. Donikian, and N. Bonvalet. Environmental abstraction and path planning techniques for realistic crowd simulation. Computer Animation and Virtual Worlds, 17:325-335, 2006.
10. W. Shao and D. Terzopoulos. Environmental modeling for autonomous virtual pedestrians. Digital Human Modeling for Design and Engineering Symposium, 2005.
11. S. Thrun and A. Bücken. Integrating grid-based and topological maps for mobile robot navigation. In Thirteenth National Conference on Artificial Intelligence AAAI, pages 944-951, Portland, Oregon, August 1996. AAAI Press/MIT Press.
12. J. Zhu, J. Gong, H. Lin, W. Li, J. Zhang, and X. Wu. Spatial analysis services in virtual geographic environment based on grid technologies. In J. Gong, Q. Zhu, Y. Liu, and S.Wang, editors, Proceedings of SPIE, the International Society for Optical Engineering, volume 6045, page 60450Q, 2005.