Abstract
In this paper, we propose a hierarchical approach to path planning that scales well for large crowds. Crowds have become an important research field that presents challenges associated to the high complexity of potential behaviors. In most related work crowds are designed to follow global or local rules that infer intelligent navigation and behavior. Path planning methods can be applied in simulation where it is required to have an exact distribution of the crowd in the environment. However, the simulation is often created offline as path planning algorithms do not scale well with large numbers of agents, if each is considered individually. Our approach provides reliable paths that can be used for environment crowd distribution evaluations, and scales well with a high number of agents to run at interactive from rates for up to a few thousand agents.
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Dobbyn, S., Hamill, J., O’Conor, K., O’Sullivan, C.: Geopostors: A real-time geometry/impostor crowd rendering system. In: Proceedings of the ACM SIGGRAPH 2005 Symposium on Interactive 3D Graphics and Games (SI3D), pp. 95–102. ACM Press, New York (2005)
Tecchia, F., Loscos, C., Chrysanthou, Y.: Visualizing crowds in real-time. Computer Graphics Forum 21(4), 753–765 (2002)
Ryder, G., Day, A.M.: Survey of real-time rendering techniques for crowds. Computer Graphics Forum 24(2), 203–215 (2005)
Thalmann, D., Musse, S.R.: Crowd Simulation. Springer, Heidelberg (2007)
Ulicny, B., Thalmann, D.: Crowd simulation for interactive virtual environments and VR training systems. In: Computer Animation and Simulation 2001, pp. 163–170 (2001)
Wong, K.Y., Thyvetil, M.A., Machaira, A., Loscos, C.: Density distribution and local behaviour for realistic crowd simulation. In: IADIS International Computer Graphics and Visualization (2007)
Michael, D., Chrisanthou, Y.: Automatic high level avatar guidance based on the affordance of movement. In: European Association for Computer Graphics, pp. 87–98 (2003)
Penn, A., Turner, A.: Space syntax based agent models. Pedestrian and Evacuation Dynamics, 99–114 (2001)
Korf, R.E.: Space-efficient search algorithms. ACM Comput. Surv. 27(3), 337–339 (1995)
Sung, M., Kovar, L., Gleicher, M.: Fast and accurate goal-directed motion synthesis for crowds. In: SCA 2005: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation, pp. 291–300. ACM Press, New York (2005)
Mamiya, H., Kubo, M., Satoh, H., Namatame, A.: Agents on wave field: Simulation of traffic on train station. In: Industrial Electronics Society, 2000. IECON 2000. 26th Annual Conference of the IEEE, vol. 4 (2000)
Kamphuis, A., Overmars, M.H.: Finding paths for coherent groups using clearance. In: Pai, D.K., Boulic, R. (eds.) Eurographics/SIGGRAPH Symposium on Computer Animation, Grenoble, France, Eurographics Association, pp. 19–28 (2004)
Loscos, C., Marchal, D., Meyer, A.: Intuitive crowd behaviour in dense urban environments using local laws. In: TPCG 2003 (2003)
Lerner, A., Chrysanthou, Y., Lischinski, D.: Crowds by example. Computer Graphics Forum (Proceedings of Eurographics) 26(3) (2007)
Lamarche, F., Donikian, S.: Crowd of virtual humans: a new approach for real time navigation in complex and structured environments. Computer Graphics Forum 23(3), 509–518 (2004)
Tecchia, F., Loscos, C., Conroy, R., Chrysanthou, Y.: Agent behaviour simulator (abs); a platform for urban behaviour development. GTEC (2001)
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Wong, K.Y., Loscos, C. (2008). Hierarchical Path Planning for Virtual Crowds. In: Egges, A., Kamphuis, A., Overmars, M. (eds) Motion in Games. MIG 2008. Lecture Notes in Computer Science, vol 5277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89220-5_5
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DOI: https://doi.org/10.1007/978-3-540-89220-5_5
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