A review on crowd simulation and modeling

S Yang, T Li, X Gong, B Peng, J Hu - Graphical Models, 2020 - Elsevier
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 …

[BOOK][B] Step** into virtual reality

Mario A. Gutiérrez A., F Vexo, D Thalmann - 2008 - Springer
Since the first edition of this book in 2007, there has been a fast evolution in Virtual Reality.
Palmer Luckey designed a prototype for what would become the Oculus Rift Virtual Reality …

A history of crowd simulation: the past, evolution, and new perspectives

SR Musse, VJ Cassol, D Thalmann - The Visual Computer, 2021 - Springer
This paper aims to discuss the past, evolution, and new perspectives in crowd simulation.
Many work have been produced and published in this area that was launched …

Algorithms for microscopic crowd simulation: Advancements in the 2010s

W Van Toll, J Pettré - Computer Graphics Forum, 2021 - Wiley Online Library
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 …

AUTOSIGN: A multi-criteria optimization approach to computer aided design of signage layouts in complex buildings

RK Dubey, WP Khoo, MG Morad, C Hölscher… - Computers & …, 2020 - Elsevier
To improve the efficiency and effectiveness of designing signage systems in buildings, we
present AUTOSIGN–a design tool that supports user-in-the-loop and multi-criteria …

Heter-sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization

J Ren, W **ang, Y **ao, R Yang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Interactive multi-agent simulation algorithms are used to compute the trajectories and
behaviors of different entities in virtual reality scenarios. However, current methods involve …

Heterogeneous crowd simulation using parametric reinforcement learning

K Hu, B Haworth, G Berseth, V Pavlovic… - … on Visualization and …, 2021 - ieeexplore.ieee.org
Agent-based synthetic crowd simulation affords the cost-effective large-scale simulation and
animation of interacting digital humans. Model-based approaches have successfully …

A calibrated force-based model for mixed traffic simulation

Q Chao, P Liu, Y Han, Y Lin, C Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Virtual traffic benefits a variety of applications, including video games, traffic engineering,
autonomous driving, and virtual reality. To date, traffic visualization via different simulation …

Interactive and adaptive data-driven crowd simulation

S Kim, A Bera, A Best, R Chabra… - 2016 IEEE Virtual …, 2016 - ieeexplore.ieee.org
We present an adaptive data-driven algorithm for interactive crowd simulation. Our approach
combines realistic trajectory behaviors extracted from videos with synthetic multi-agent …

[PDF][PDF] Efficient trajectory extraction and parameter learning for data-driven crowd simulation.

A Bera, S Kim, D Manocha - Graphics Interface, 2015 - academia.edu
We present a trajectory extraction and behavior-learning algorithm for data-driven crowd
simulation. Our formulation is based on incrementally learning pedestrian motion models …