• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Yin, Bao-Cai (Yin, Bao-Cai.) (Scholars:尹宝才) | Xu, Zhen-Hua (Xu, Zhen-Hua.) | Kong, De-Hui (Kong, De-Hui.) (Scholars:孔德慧) | Xiao, Xiao-Fang (Xiao, Xiao-Fang.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to perform the collision avoidance, a new algorithm is introduced to make use of the high effectiveness of GPU to compute the discrete Voronoi diagram in real-time. And a solution for crowd path navigation based Voronoi diagram is presented. By making use of the ability that the Voronoi diagram partitions the space according to the Euclidean metric, the path planning with collision avoidance is achieved by forbidding agents to move outside their Voronoi regions.

Keyword:

Graphics processing unit Graphic methods Collision avoidance Computational geometry

Author Community:

  • [ 1 ] [Yin, Bao-Cai]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Xu, Zhen-Hua]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Kong, De-Hui]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Xiao, Xiao-Fang]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science, Beijing University of Technology, Beijing 100124, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2009

Issue: 8

Volume: 35

Page: 1115-1121

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:894/5290305
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.