Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/ICIMT.2009.119guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

A Review of Collision Avoidance Technique for Crowd Simulation

Published: 16 December 2009 Publication History

Abstract

Crowd systems are widely being exploited in a number of virtual environment applications such as games, virtual world and entertainment. These kinds of applications can provide the immersive feeling into the static scenes and therefore enhancing the reality of the systems. The problems involved in crowd modelling when we only focus on the crowds. For instance, the collision avoidance among a large number of individuals in the same area requires different resolving strategies in comparison with the methods used to avoid collisions between just two individuals. Collision avoidance is an important element that needs to be tackled if we want to simulate the crowd system. By utilizing the collision avoidance, it will produce higher level of realism of crowd system as well as to make the system becomes more interesting. This paper investigates the importance of collision avoidance for crowd system in virtual environment. The comparisons among previous techniques have been presented here in order to aid the selection of our future research direction.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
ICIMT '09: Proceedings of the 2009 International Conference on Information and Multimedia Technology
December 2009
523 pages
ISBN:9780769539225

Publisher

IEEE Computer Society

United States

Publication History

Published: 16 December 2009

Author Tags

  1. collision
  2. collision avoidance
  3. crowd
  4. crowd simulation

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 24 Jan 2025

Other Metrics

Citations

View Options

View options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media