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Laval virtual 2024
- Solenne Fortun
- April 12, 2024
Inria presented work related to CrowdDNA at Laval Virtual 2024.
Author: Solenne Fortun
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[Under review] PED 2024: Standing Balance Recovery Strategies of Young Adults in a Densely Populated Environment Following External Perturbations
- Solenne Fortun
- April 10, 2024
T. Chatagnon, S. Feldmann, J. Adrian, A.-H. Olivier, C. Pontonnier, L. Hoyet and J. Pettre
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[Under review] INAV 2024: Walking in circle: the role of the vestibular system?
- Solenne Fortun
- March 28, 2024
Charlotte Roy, Dennis Wiebusch adn Marc Ernst
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PED 2024: Temporal segmentation of motion propagation in response to an external impulse
- Solenne Fortun
- March 14, 2024
S. Feldmann, T. Chatagnon, J. Adrian, J. Pettre and A. Seyfried
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Collective Dynamics 2024: Propagation of controlled frontward impulses through standing crowds
- Solenne Fortun
- March 09, 2024
S. Feldmann, J. Adrian and M. Boltes
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CVPR 2024: Human Motion Prediction under Unexpected Perturbation
- Solenne Fortun
- February 27, 2024
Jiangbei Yue, Baiyi Li, Julien Pettre, Armin Seyfried, He Wang
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Collective Dynamics 2024: A Rumor has Spread like Wildfire? – Empirical Investigation of Information Propagation in Waiting Crowds
- Solenne Fortun
- January 12, 2024
Helena Lügering, Anna Sieben
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Video: How can we model humans?
- Solenne Fortun
- January 03, 2024
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? Dan Casas, Marc Comino, Melania Prieto Martin and Gonzalo Gomez from Universidad Rey Juan Carlos explain how they model humans as part of the CrowdDNA project.
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D3.2: ML Detector to analyse crowd movements in videos
- Solenne Fortun
- December 31, 2023
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.
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D3.1: ML Generator to analyse crowd movements in videos
- Solenne Fortun
- December 31, 2023
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.
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This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 899739.