Collective Dynamics 2024: A Rumor has Spread like Wildfire? – Empirical Investigation of Information Propagation in Waiting Crowds
Helena Lügering, Anna Sieben
Video: How can we model humans?
Discover crowd modelling with our new video! 🎥 Have you always wanted to understand how it’s possible to move from reality to the virtual world?
D3.2: ML Detector to analyse crowd movements in videos
This deliverable describes the efforts done during Period 1, Period 2 and part of Period 3 in the Work Package 3 of the CrowdDNA project towards developing a new crowd simulator algorithm tailored to model both macro and micro-level crowd characteristics.
D3.1: ML Generator to analyse crowd movements in videos
This deliverable describes the efforts done during periods 1, 2 and half-way through 3 in the Work Package 3 (WP3) of the project towards, first, generating synthetic data and, second, training a detector.
[Under review] PED 2024: Standing Balance Recovery Strategies of Young Adults in a Densely Populated Environment Following External Perturbations
T. Chatagnon, S. Feldmann, J. Adrian, A.-H. Olivier, C. Pontonnier, L. Hoyet and J. Pettre
[Under review] Collective Dynamics 2024: Propagation of external impulses through standing crowds
S. Feldmann, J. Adrian and M. Boltes
[Under review] PED 2024: Temporal segmentation of motion propagation in response to an external impulse
S. Feldmann, T. Chatagnon, J. Adrian, J. Pettre and A. Seyfried
[Under review] AAAI 2024: SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin
