A. Best, S. Narang, S. Curtis, and D. Manocha, DenseSense: Interactive crowd simulation using density-dependent filters, Proc. 13th ACM SIGGRAPH / Eurographics Symp. on Computer Animation, pp.97-102, 2014.

S. Bhattacharya, M. Likhachev, and V. Kumar, Topological constraints in search-based robot path planning, Autonomous Robots, vol.33, pp.273-290, 2012.

. Boost, The Boost C++ library, 2019.

J. Bruneau and J. Pettré, EACS: Effective Avoidance Combination Strategy, Comput. Graph. Forum, vol.36, pp.108-122, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01392248

S. Curtis, A. Best, and D. Manocha, Menge: A modular framework for simulating crowd movement, Collective Dynamics, vol.1, pp.1-40, 2016.

B. Teofilo, R. Dutra, . Marques, B. Joaquim, C. A. Cavalcante-neto et al., Gradient-based steering for vision-based crowd simulation algorithms, Comput. Graph. Forum, vol.36, pp.337-348, 2017.

R. Geraerts, Planning short paths with clearance using Explicit Corridors, Proc. IEEE Int. Conf. Robotics and Automation, 1997.

A. Golas, R. Narain, and M. C. Lin, Hybrid long-range collision avoidance for crowd simulation, Proc. ACM SIGGRAPH Symp. Interactive 3D Graphics and Games (I3D '13, pp.29-36, 2013.

P. E. Hart, N. J. Nilsson, and B. Raphael, A formal basis for the heuristic determination of minimum cost paths, IEEE Trans. Systems Science and Cybernetics, vol.4, pp.100-107, 1968.

D. Helbing and P. Molnár, Social force model for pedestrian dynamics, Physical Review E, vol.51, pp.4282-4286, 1995.

J. Hershberger and J. Snoeyink, Computing minimum length paths of a given homotopy class, Comput. Geom. Theory Appl, vol.4, pp.63-97, 1994.

M. Höcker, A. Volker-berkhahn, A. Kneidl, W. Borrmann, and . Klein, Graph-based approaches for simulating pedestrian dynamics in building models. In eWork and eBusiness in Architecture, Engineering and Construction, pp.389-394, 2010.

N. S. Jaklin, F. Atlas, I. V. Cook, and R. Geraerts, Real-time path planning in heterogeneous environments, Computer Animation and Virtual Worlds, vol.24, pp.285-295, 2013.

M. Kallmann, Dynamic and robust Local Clearance Triangulations, ACM Trans. Graph, vol.33, 2014.

M. Kapadia, A. Beacco, F. Garcia, V. Reddy, N. Pelechano et al., Multi-domain real-time planning in dynamic environments, Proc. 12th ACM SIGGRAPH/Eurographics Symp. Computer Animation, pp.115-124, 2013.

I. Karamouzas, R. Geraerts, and M. H. Overmars, Indicative routes for path planning and crowd simulation, Proc. 4th Int. Conf. Foundations of Digital Games, pp.113-120, 2009.

M. Peter, D. H. Kielar, A. Biedermann, and . Borrmann, MomenTUMv2: A modular, extensible, and generic agent-based pedestrian behavior simulation framework, 2016.

R. A. Knepper, S. S. Srinivasa, and M. T. Mason, Toward a deeper understanding of motion alternatives via an equivalence relation on local paths, Int. Journal of Robotics Research, vol.31, pp.167-186, 2011.

A. Kremyzas, N. S. Jaklin, and R. Geraerts, Towards social behavior in virtual-agent navigation, Science China -Information Sciences, vol.59, p.112102, 2016.

I. Christoforos, R. A. Mavrogiannis, and . Knepper, Multi-agent path topology in support of socially competent navigation planning, Int. Journal of Robotics Research, vol.38, pp.338-356, 2019.

R. Oliva and N. Pelechano, NEOGEN: Near optimal generator of navigation meshes for 3D multi-layered environments, Computers & Graphics, vol.37, pp.403-412, 2013.

S. Patil, P. Jur, . Van-den, S. Berg, M. C. Curtis et al., Directing crowd simulations using navigation fields, IEEE Trans. Vis. Comput. Graphics, vol.17, pp.244-254, 2010.

N. Pelechano, J. M. Allbeck, and N. I. Badler, Controlling individual agents in high-density crowd simulation, Proc. ACM SIGGRAPH/Eurographics Symp. Computer Animation, pp.99-108, 2007.

N. Pelechano, J. M. Allbeck, M. Kapadia, and N. I. Badler, Simulating Heterogeneous Crowds with Interactive Behaviors, 2016.

J. Pettré, H. Grillon, and D. Thalmann, Crowds of moving objects: Navigation planning and simulation, Proc. IEEE Int. Conf. Robotics and Automation, pp.3062-3067, 2007.

A. Sybren, N. Stüvel, D. Magnenat-thalmann, A. Thalmann, and . Frank-van-der-stappen, Torso crowds, IEEE Trans. Vis. Comput. Graphics, vol.23, pp.1823-1837, 2016.

A. Sud, R. Gayle, E. Andersen, S. Guy, M. C. Lin et al., Real-time navigation of independent agents using adaptive roadmaps, Proc. ACM Symp. Virtual Reality Software and Technology, pp.99-106, 2007.

D. Thalmann, R. Soraia, and . Musse, Crowd Simulation, vol.25, pp.1160-1168, 2006.

P. Jur, . Van-den, S. J. Berg, M. C. Guy, D. Lin et al., Reciprocal n-body collision avoidance, Proc. 14th Int. Symp. Robotics Research, pp.3-19, 2011.

N. Arthur-van-goethem, . Jaklin, F. Atlas, I. V. Cook, and R. Geraerts, On streams and incentives: A synthesis of individual and collective crowd motion, Proc. 28th Conf. Computer Animation and Social Agents, 2015.

N. Wouter-van-toll, R. Jaklin, and . Geraerts, Towards believable crowds: A generic multi-level framework for agent navigation, 2015.

R. Wouter-van-toll, R. Triesscheijn, M. Geraerts, R. Kallmann, N. Oliva et al., A comparative study of navigation meshes, Proc. 9th ACM SIGGRAPH Int. Conf. Motion in Games, pp.91-100, 2016.

G. Wouter, . Van-toll, F. Atlas, I. V. Cook, and R. Geraerts, Real-time densitybased crowd simulation, Computer Animation and Virtual Worlds, vol.23, pp.59-69, 2012.

D. Wolinski, M. C. Lin, and J. Pettré, WarpDriver: Context-aware probabilistic motion prediction for crowd simulation, ACM Trans. Graph, vol.35, pp.1-164, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01411087