217 citations · 232 across the 6 of their papers we have counts for
6 papers
Human Motion Prediction under Unexpected Perturbation
Jiangbei Yue, Baiyi Li, Julien Pettré +2
We investigate a new task in human motion prediction, which is predicting motions under unexpected physical perturbation potentially involving multiple people. Compared with existi…
Reward Function Design for Crowd Simulation via Reinforcement Learning
Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré +1
Crowd simulation is important for video-games design, since it enables to populate virtual worlds with autonomous avatars that navigate in a human-like manner. Reinforcement learni…
UGAE: A Novel Approach to Non-exponential Discounting
Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré +1
The discounting mechanism in Reinforcement Learning determines the relative importance of future and present rewards. While exponential discounting is widely used in practice, non-…
How do walkers avoid a mobile robot crossing their way?
Christian Vassallo, Anne-Hélène Olivier, Philippe Souères +3
Robots and Humans have to share the same environment more and more often. In the aim of steering robots in a safe and convenient manner among humans it is required to understand ho…
Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models
Aniket Bera, David Wolinski, Julien Pettré +1
We present a novel, real-time algorithm to track the trajectory of each pedestrian in moderately dense crowded scenes. Our formulation is based on an adaptive particle-filtering sc…
Traffic Instabilities in Self-Organized Pedestrian Crowds
Mehdi Moussaid, Elsa G. Guillot, Mathieu Moreau +7
In human crowds as well as in many animal societies, local interactions among individuals often give rise to self-organized collective organizations that offer functional benefits…