A synthetic-vision based steering approach for crowd simulation

In the everyday exercise of controlling their locomotion, humans rely on their optic flow of the perceived environment to achieve collision-free navigation. In crowds, in spite of the complexity of the environment made of numerous obstacles, humans demonstrate remarkable capacities in avoiding collisions. Cognitive science work on the human locomotion stated that a relatively succinct information is extracted from the optic flow to achieve a safe locomotion. In this paper, we explore a novel vision-based approach of collision avoidance between walkers that fit the requirements of interactive crowd simulation. In imitation of humans and based on cognitive science results, we detect future collisions as well as their dangerousness from visual-stimuli. The motor-response is twofold: reorientation strategy is set to avoid future collision, whereas a deceleration strategy is used to avoid imminent collisions. Several examples of our simulation results show that the emergence of self-org...

• Type: Conference
• Year: 2010
• Where: SIGGRAPH
• Authors: Jan Ondrej, Julien Pettré, Anne-Hélène Olivier, Stéphane Donikian
• Keywords: Cognitive Science, Computer Graphics, Future Collision, Optic flow, SIGGRAPH 2010