Abstraction of informed virtual geographic environments

We propose a novel method for the automated generation of virtual geographic environments that allows using geographic information system data to build what we call informed virtual geographic environment (IVGE). The description of an IVGE integrates semantic information expressed using conceptual graphs, a standard knowledge representation technique. In addition, we propose an abstraction process that uses geometric, topologic, and semantic characteristics of geographic features to build a hierarchical graph-based structure describing this IVGE. Our IVGE model enables the support of large-scale and complex geographic environment modeling for multiagent geo-simulations in which the agents are situated and with which they interact.

[1]  Marcelo Kallmann,et al.  Object Interaction in Real-Time Virtual Environments , 2001 .

[2]  Karsten A. Otto,et al.  Semantic virtual environments , 2005, Multimedia Tools and Applications.

[3]  Sheng-Gwo Chen,et al.  A geometric interpretation of weighted normal vectors and its improvements , 2005, International Conference on Computer Graphics, Imaging and Visualization (CGIV'05).

[4]  László Zsolt Varga,et al.  A Rule-Based Consultant for Accelerator Beam Scheduling Used in the CERN PS Complex , 1995 .

[5]  Bernard Moulin,et al.  Holonic Modelling of Large Scale Geographic Environments , 2009, HoloMAS.

[6]  Sébastien Paris,et al.  Environmental abstraction and path planning techniques for realistic crowd simulation: Research Articles , 2006 .

[7]  Stéphane Donikian,et al.  A model of hierarchical cognitive map and human-like memory designed for reactive and planned navigation , 2003 .

[8]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[9]  Alejandra Garcia Rojas Martinez,et al.  Semantics for Virtual Humans , 2009 .

[10]  Demetri Terzopoulos,et al.  Environmental Modeling for Autonomous Virtual Pedestrians , 2005 .

[11]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[12]  Sébastien Paris,et al.  Environmental abstraction and path planning techniques for realistic crowd simulation , 2006, Comput. Animat. Virtual Worlds.

[13]  Daniel Thalmann,et al.  An Informed Environment Dedicated to the Simulation of Virtual Humans in Urban Context , 1999, Comput. Graph. Forum.

[14]  Stéphane Donikian,et al.  Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments , 2004, Comput. Graph. Forum.

[15]  P. Torrens,et al.  Geosimulation: Automata-based modeling of urban phenomena , 2004 .

[16]  Simona Elena Varlan.  Knowledge Representation in the Context of E-business Applications , 2010 .