Virtual humans animation in informed urban environments

In order to populate virtual cities, it is necessary to specify the behaviour of dynamic entities such as pedestrians or car drivers. Since it is not possible to construct in real time a complete mental model only from vision and image processing, we have to add higher levels of information than the geometrical one in the model of the virtual environment. In this article, a pedestrian behavioural model which exploits the information produced by VUEMS, our city modeller, is presented.

[1]  Paul E. Levy,et al.  Moving from Cognition to Action: A Control Theory Perspective , 1994 .

[2]  Stéphane Donikian,et al.  From Psychological and Real-Time Interaction Requirements to Behavioural Simulation , 1998, Computer Animation and Simulation.

[3]  Stéphane Donikian,et al.  Modelling virtual cities dedicated to behavioural animation , 2000, Comput. Graph. Forum.

[4]  A. Newell Unified Theories of Cognition , 1990 .

[5]  Norman I. Badler,et al.  Virtual human animation based on movement observation and cognitive behavior models , 1999, Proceedings Computer Animation 1999.

[6]  Stéphane Donikian VUEMS: a virtual urban environment modeling system , 1997, Proceedings Computer Graphics International.

[7]  Daniel Thalmann,et al.  A behavioral interface to simulate agent-object interactions in real time , 1999, Proceedings Computer Animation 1999.

[8]  Norman I. Badler,et al.  Where to Look? Automating Attending Behaviors of Virtual Human Characters , 1999, AGENTS '99.

[9]  Stéphane Donikian,et al.  Multimodal driving simulation in realistic urban environments , 1999 .

[10]  David C. Brogan,et al.  Dynamically simulated characters in virtual environments , 1998, SIGGRAPH '97.

[11]  John Funge,et al.  Cognitive modeling: knowledge, reasoning and planning for intelligent characters , 1999, SIGGRAPH.

[12]  Soraia Raupp Musse,et al.  Human crowd modelling with various levels of behaviour control , 2000 .

[13]  Francisco J. Serón,et al.  Motion and behaviour modelling: state of art and new trends , 1999, The Visual Computer.

[14]  E. Goffman Relations in Public: Microstudies of the Public Order , 1971 .

[15]  Bruce Blumberg,et al.  Multi-level direction of autonomous creatures for real-time virtual environments , 1995, SIGGRAPH.

[16]  Daniel Thalmann,et al.  Towards Autonomous, Perceptive, and Intelligent Virtual Actors , 1999, Artificial Intelligence Today.

[17]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[18]  Alex Pentland,et al.  The ALIVE system: full-body interaction with autonomous agents , 1995, Proceedings Computer Animation'95.

[19]  W. A. Harrell,et al.  Gap Acceptance by Pedestrians , 1992 .

[20]  D. Thalmann,et al.  A behavioral animation system for autonomous actors personified by emotions , 1998 .

[21]  Allen Newell,et al.  The logic theory machine-A complex information processing system , 1956, IRE Trans. Inf. Theory.

[22]  Norman I. Badler,et al.  Simulating humans: computer graphics animation and control , 1993 .

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