Deep Fundamental Diagram Network for Real-Time Pedestrian Dynamics Analysis
暂无分享,去创建一个
Yu Kang | Cao Yang | Jun Zhang | Weiguo Song | Qing Ma | Jun Zhang | Weiguo Song | Yu Kang | Qing Ma | Cao Yang
[1] Takashi Nagatani,et al. Transition from homogeneous to inhomogeneous flows in a lattice-gas binary mixture of slender particles , 2008 .
[2] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[3] A. Seyfried,et al. The fundamental diagram of pedestrian movement revisited , 2005, physics/0506170.
[4] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[5] Yu Kang,et al. Crowd Distribution Estimation with Multi-scale Recursive Convolutional Neural Network , 2018, MMM.
[6] Roger L. Hughes,et al. A continuum theory for the flow of pedestrians , 2002 .
[7] L. F. Henderson. On the fluid mechanics of human crowd motion , 1974 .
[8] Bastien Chopard,et al. A Multiparticle Lattice Gas Automata Model for a Crowd , 2002, ACRI.
[9] Yoshihiro Ishibashi,et al. Self-Organized Phase Transitions in Cellular Automaton Models for Pedestrians , 1999 .
[10] Dirk Helbing,et al. Simulating dynamical features of escape panic , 2000, Nature.
[11] Weiguo Song,et al. A cellular automata evacuation model considering friction and repulsion , 2005 .