Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach

By Sébastien Paris, Julien Pettré, Stéphane Donikian. Computer graphics forum (Print), 2007

309 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Human motion trajectory prediction: a survey (2019, methodology): “…Luber et al. 2010; Elfring et al. 2014; Ferrer and Sanfeliu 2014; Oli et al. 2013; Karamouzas et al. 2009) or similar local interaction models (Paris et al. 2007; Pellegrini et al. 2009; Kim et al. 2011; Yamaguchi et al. 2011; Robicquet et al. 2016; Pellegrini et al. 2010; Kara-mouzas and…”
A synthetic-vision based steering approach for crowd simulation (2010, methodology): “Our method can be closely related to rule-based approaches [Reynolds 1999], as well as, geometrically-based local avoidance models approaches [Paris et al. 2007; van den Berg et al. 2008; Kapadia et al. 2009; Pettr´e et al. 2009; Karamouzas et al. 2009; Guy et al. 2009].”
Core Challenges of Social Robot Navigation: A Survey (2021, background): “…crowd behaviors in a critical context, such as the circular aggregation or flow of pedestrians around a narrow passage and lanes’ formation between two or more pedestrians’ flows [81, 92, 93, 169, 173] or on designing more artificial scenarios to test interactions between agents [80, 169, 240].”