Autonomous pedestrians
By W. Shao, Demetri Terzopoulos. Symposium on Computer Animation, 2005
640 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/03c656b7010b3a13d5c50a538903141f338b08b5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Ming-Hsuan Yang
- Mubarak Shah
- Jitendra Malik
- Dacheng Tao
- Li Fei-Fei
- Lei Zhang
In Control and Systems Engineering
- Zoran Popovic
- Seth Cooper
- Adrien Treuille
- Abhinav Golas
- Ming C Lin
- Sean Curtis
- Mubarak Shah
- Tony F. Chan
In Ocean Engineering
- Mubarak Shah
- Alexis Oyama
- Ramin Mehran
- Zoran Popovic
- Adrien Treuille
- Seth Cooper
- Abhinav Golas
- Ming C Lin
Citations in the corpus
- Aggregate dynamics for dense crowd simulation (2009, background): “…et al. 2005], directional preferences [Sung et al. 2004], social forces [Helbing and Moln´ar 1995; Cordeiro et al. 2005; Gayle et al. 2009; Sud et al. 2007], and other models of pedestrian behavior, including [Shao and Terzopoulos 2007; Paris et al. 2007; Yeh et al. 2008] and many others.”
- Continuum crowds (2006, methodology): “This model was further expanded with pedestrian visibility and path planning in [Shao and Terzopoulos 2005].”
- Emergent vision system of autonomous virtual characters (2016, background): “Such maps can be predetermined [3] or learned [4], but the agents do not react to the actual environment, acting according to the world represented on its mind, and another map have to be acquired if the world changes its con fi guration.”
- Abnormal crowd behavior detection using social force model (2009, background): “Generalized social force model is the cornerstone for many studies in simulation of crowd behavior [14] [29][26] in addition to the studies in computer graphics [21][5][25] for creating realistic animations of the crowd.”
- Evolving Plastic Neuromodulated Networks for Behavior Emergence of Autonomous Virtual Characters (2013, background): “…of reality within the agent’s mind (in the form of models and “knowledge”), and internally calculating what appropriate action should be performed in a given situation (Shao and Terzopoulos (2007); Garc´ıa-Rojas et al. (2007); Gutierrez et al. (2007); Whiting et al. (2010); Orozco et al. (2011)).”
- Make it home: automatic optimization of furniture arrangement (2011, background): “For example, [Shao and Terzopoulos 2007] demonstrated a large-scale virtual model of a train station populated by numerous autonomous pedestrians.”