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Author:

Wang, Xiaotian (Wang, Xiaotian.) | Zhang, Yong (Zhang, Yong.) (Scholars:张勇) | Kong, Dehui (Kong, Dehui.) (Scholars:孔德慧) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才)

Indexed by:

CPCI-S EI Scopus

Abstract:

Crowd simulation has been widely used in virtual building evacuation, crowd behavior drilling, movie making, entertainment and many other fields. So far, it is still a difficult problem to synthesize realistic large-scale crowd rendering with an interactive frame-rate in the real-time applications. Therefore, efficiency is a pivotal problem to resolve. This paper proposes a hybrid approach to guide crowd movements by constructing a navigation field and local collision avoidance simultaneously. Crowd can take use of navigation field which records the optimal path and local collision test keeping them off obstacles with modified vector to reach their desired destinations. With our proposed method, we build a simulation environment for crowd evacuation and realized the evacuation in assembly occupancies successfully with excellent rendering result and high efficiency in reasonable frame.

Keyword:

collision avoidance path planning navigation field crowd simulation

Author Community:

  • [ 1 ] [Wang, Xiaotian]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China
  • [ 2 ] [Zhang, Yong]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China
  • [ 3 ] [Kong, Dehui]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China
  • [ 4 ] [Yin, Baocai]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China

Reprint Author's Address:

  • [Wang, Xiaotian]Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing, Peoples R China

Email:

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Source :

2014 5TH INTERNATIONAL CONFERENCE ON DIGITAL HOME (ICDH)

ISSN: 2372-7160

Year: 2014

Page: 347-352

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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