@conference {692,
	title = {Faster-than-real-time Simulation of Multi-group Pedestrian Flow.},
	booktitle = {Traffic \& Granular Flow 24},
	year = {2025},
	month = {09/2025},
	pages = {04021},
	publisher = {EDP Sciences (334)},
	organization = {EDP Sciences (334)},
	address = {Lyon},
	abstract = {Simulations of pedestrian flow are widely used for design guidelines during the planning of buildings and large events. In this article we discuss how faster-than-real-time simulations of pedestrian flow can contribute to dynamic control strategies of the crowd in order to ensure safety live during an event. For this purpose we present a continuous model for multi-group pedestrian flow. The model consists of the continuity equation for the density of pedestrians and a Helmholtz type equation providing the fastest path to the exit. It is derived by regularizing Hughes{\textquoteright} macroscopic model for pedestrian flow and is solved using the finite element method, which enables simulations at short run-times. The model allows the definition of multiple groups with different fundamental diagrams or destination preferences. We show that this model is able to reproduce qualitatively the expected behavior of crossing pedestrian crowds. Its main advantage is its simulation speed, making it ideal for real-time crowd management at large events.},
	keywords = {FEM Simulation, Kontinuum Model, multi-group, pedestrian flow},
	doi = {https://doi.org/10.1051/epjconf/202533404021},
	author = {M. Schmid and D. Bernhardsgr{\"u}tter and R. Schwarz and D. Bohnet and R. Axthelm}
}
@article {670,
	title = {Fast and efficient image novelty detection based on mean-shifts},
	journal = {Sensors | Unusual Behavior Detection Based on Machine Learning },
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {664,
	title = {Fast and memory-efficient independent component analysis using Lie group techniques},
	booktitle = {International Conference on Curves and Surfaces},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@conference {617,
	title = {Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms},
	booktitle = {ICDAR-OST: The 2nd International Workshop on Open Services and Tools for Document Analysis},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Marc-Peter Schambach and Stephan von der N{\"u}ll and Martin Schall}
}
@article {657,
	title = {Fractal Curves from Prime Trigonometric Series},
	journal = {Fractal Fract.},
	volume = {2},
	year = {2018},
	doi = {DOI: 10.3390/fractalfract2010002},
	author = {Bohnet, Doris and Vartziotis, Dimitris}
}
@inbook {643,
	title = {Finite Element Simulation of a Macroscopic Model for Pedestrian Flow},
	booktitle = {Traffic and  Granular Flow},
	volume = {10.1007/978-3-319-33482-0_30},
	year = {2016},
	pages = {233{\textendash}240},
	publisher = {Springer},
	organization = {Springer},
	chapter = {15},
	author = {R. Axthelm}
}
@conference {188,
	title = {Finite element analysis for linear elastic solids based on subdivision schemes},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2011},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@conference {Kie_ea_05a,
	title = {Face detection {\textendash} efficient and rank deficient},
	booktitle = {{Advances in Neural Information Processing Systems 17}},
	year = {2005},
	pages = {673{\textendash}680},
	publisher = {MIT Press},
	organization = {MIT Press},
	author = {W Kienzle and G H Bak{\i}r and M O Franz and B Sch{\"o}lkopf},
	editor = {Saul, L K and Y Weiss and L Bottou}
}
