Crowd simulation has emerged in the last decade as a widely used method of visual effects,
computer games, and urban planning, etc. The improvement of hardware performance and …

This article surveys the state-of-the-art crowd simulation techniques and their selected
applications, with its focus on our recent research advances in this rapidly growing research …

In the everyday exercise of controlling their locomotion, humans rely on their optic flow of the
perceived environment to achieve collision-free navigation. In crowds, in spite of the …

We present a new local collision avoidance algorithm between multiple agents for real-time
simulations. Our approach extends the notion of velocity obstacles from robotics and …

The real‐time simulation of human crowds has many applications. Simulating how the
people in a crowd move through an environment is an active and ever‐growing research …

We present a novel framework to evaluate multi‐agent crowd simulation algorithms based
on real‐world observations of crowd movements. A key aspect of our approach is to enable …

An interaction occurs between two humans when they walk with converging trajectories.
They need to adapt their motion in order to avoid and cross one another at respectful …

We present Menge, a cross-platform, extensible, modular framework for simulating
pedestrian movement in a crowd. Menge's architecture is inspired by an implicit …

Local collision avoidance algorithms in crowd simulation often ignore agents beyond a
neighborhood of a certain size. This cutoff can result in sharp changes in trajectory when …

Most recent crowd simulation algorithms equip agents with a synthetic vision component for
steering. They offer promising perspectives through a more realistic simulation of the way …