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 …
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 …
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
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 …
Many work have been produced and published in this area that was launched …
Algorithms for microscopic crowd simulation: Advancements in the 2010s
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 …
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
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 …
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
Interactive multi-agent simulation algorithms are used to compute the trajectories and
behaviors of different entities in virtual reality scenarios. However, current methods involve …
behaviors of different entities in virtual reality scenarios. However, current methods involve …
Heterogeneous crowd simulation using parametric reinforcement learning
Agent-based synthetic crowd simulation affords the cost-effective large-scale simulation and
animation of interacting digital humans. Model-based approaches have successfully …
animation of interacting digital humans. Model-based approaches have successfully …
A calibrated force-based model for mixed traffic simulation
Virtual traffic benefits a variety of applications, including video games, traffic engineering,
autonomous driving, and virtual reality. To date, traffic visualization via different simulation …
autonomous driving, and virtual reality. To date, traffic visualization via different simulation …
Interactive and adaptive data-driven crowd simulation
We present an adaptive data-driven algorithm for interactive crowd simulation. Our approach
combines realistic trajectory behaviors extracted from videos with synthetic multi-agent …
combines realistic trajectory behaviors extracted from videos with synthetic multi-agent …
[PDF][PDF] Efficient trajectory extraction and parameter learning for data-driven crowd simulation.
We present a trajectory extraction and behavior-learning algorithm for data-driven crowd
simulation. Our formulation is based on incrementally learning pedestrian motion models …
simulation. Our formulation is based on incrementally learning pedestrian motion models …