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PhD Position available at INRIA Rennes (http://www.inria.fr/)
Topic: Crowd Simulation based on synthetic perception.
Advisors: Julien Pettré, Armel Crétual
Application: Please send resume + motivation letter to julien.pettre(at)inria.fr
Duration: 3 years, from September or October 2014
Salary: 1600 euros (net pay)
Topic :
A microscopic crowd simulation algorithm is based on numerical models of local interactions between individuals. Those models describe how individual motion is influenced by the presence of other neighbors during various kind of interactions (like for example collision avoidance, following, grouping, fleeing, etc.) and how those interactions combine.
The objective of this thesis is to develop model of local interactions based on perceptual variables. Whereas a typical simulation algorithm is based simple geometrical descriptions and spatial reasoning techniques [Paris 2007], we here simulate a synthetic perception and how agents react to virtual stimuli [Ondrej 2010]. There are many challenging problems to address in this context:
- What is the relevant (visual, tactile, sound) information perceived by humans when moving in crowds? How motion is controlled based on this perception?
- How to provide efficient algorithms to simulate this process?
- What is the level of realism reached by this kind of technique at the microscopic (individual motion) and the macroscopic (crowd motion) scales?
The objective of this topic is to address the three aspects of this problem. Our topic is multidisciplinary between human motion science and computer science.
[Paris 2007] Paris, S.; Pettré, J. & Donikian, S. Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach Eurographics'07: Computer Graphics Forum, 2007, 26, 665-674
[Ondrej 2010] Ondřej, J.; Pettré, J.; Olivier, A.-H. & Donikian, S. A Synthetic-Vision-Based Steering Approach for Crowd Simulation SIGGRAPH '10: ACM SIGGRAPH 2010 Papers, 2010
Topic: Crowd Simulation based on synthetic perception.
Advisors: Julien Pettré, Armel Crétual
Application: Please send resume + motivation letter to julien.pettre(at)inria.fr
Duration: 3 years, from September or October 2014
Salary: 1600 euros (net pay)
Topic :
A microscopic crowd simulation algorithm is based on numerical models of local interactions between individuals. Those models describe how individual motion is influenced by the presence of other neighbors during various kind of interactions (like for example collision avoidance, following, grouping, fleeing, etc.) and how those interactions combine.
The objective of this thesis is to develop model of local interactions based on perceptual variables. Whereas a typical simulation algorithm is based simple geometrical descriptions and spatial reasoning techniques [Paris 2007], we here simulate a synthetic perception and how agents react to virtual stimuli [Ondrej 2010]. There are many challenging problems to address in this context:
- What is the relevant (visual, tactile, sound) information perceived by humans when moving in crowds? How motion is controlled based on this perception?
- How to provide efficient algorithms to simulate this process?
- What is the level of realism reached by this kind of technique at the microscopic (individual motion) and the macroscopic (crowd motion) scales?
The objective of this topic is to address the three aspects of this problem. Our topic is multidisciplinary between human motion science and computer science.
[Paris 2007] Paris, S.; Pettré, J. & Donikian, S. Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach Eurographics'07: Computer Graphics Forum, 2007, 26, 665-674
[Ondrej 2010] Ondřej, J.; Pettré, J.; Olivier, A.-H. & Donikian, S. A Synthetic-Vision-Based Steering Approach for Crowd Simulation SIGGRAPH '10: ACM SIGGRAPH 2010 Papers, 2010