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Studying and modeling complex interactions for crowd simulation

Julien Bruneau 1 
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : The goal of this thesis has been to improve crowd simulation for complex situations. Especially, we tried to understand how humans combine many interactions, during the avoidance of multiple targets for example, and to model this combination process. Some experiments have been performed using Virtual Reality with participants navigating through a heavy populated environment. Data have been recorded and analyzed, especially the trajectories and adaptations made by participants to avoid collisions. The gaze of the participants has also been studied to better understand how humans select the target to interact with. These analyses have helped us better understand how human interact during complex situations. Using these results, algorithms have been designed to reproduced human like navigation and simulate crowd with many virtual human acting like real one.
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Submitted on : Friday, September 29, 2017 - 9:45:06 AM
Last modification on : Saturday, June 25, 2022 - 7:45:57 PM
Long-term archiving on: : Saturday, December 30, 2017 - 1:09:32 PM


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  • HAL Id : tel-01425268, version 2


Julien Bruneau. Studying and modeling complex interactions for crowd simulation. Graphics [cs.GR]. Université Rennes 1, 2016. English. ⟨NNT : 2016REN1S119⟩. ⟨tel-01425268v2⟩



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