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虚拟人环境感知的仿真方法研究 被引量:3

Perception simulation of virtual human in virtual environment
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摘要 针对目标驱动的追击问题,将视线升维为柱体的视线筒,提出了一种虚拟人环境感知的筒视线方法。根据虚拟人所处的环境和行进速度,以变频方式、周期性地向目标发射筒视线,根据该筒视线与环境中障碍物的各碰撞点的信息和预先设置的行动推理知识库,确定虚拟人的追逐行动;为不完全可知的、动态虚拟环境中的目标追击问题提供了一种新的解决方案。该方案抛开了基于传统视野范围的拟人方式,以通过性的感知为中心,形成虚拟世界的互动性感知标准,建立虚拟人自身的感知功能,取得了更加逼真的仿真效果。原型系统验证了该方法的可行性和有效性。 Aiming at the goal-driven pursuit problem,this paper provided a context-aware virtual human tube line-of-sight by increasing the dimension of line-of-sight to a column-of-sight. This structural model of the tube line-of-sight periodically launches tube sight to the target in frequency mode according to the environment and travel speed of the virtual human. It determined the virtual human chase action according to the information of each obstacle collision point between the tube sight and the environment,and the pre-set action reasoning knowledge. Thereby this paper provided a new solution of the target pursuit problem in a not entirely knowable and dynamic virtual environment. The program set aside the anthropomorphic approach based on the traditional field of view,through passability perception as the center,forming a virtual world of interactive perception standards,to create a virtual person’s own perception of the function and obtain a more realistic simulation results. The prototype system verifies the feasibility and effectiveness of this method.
出处 《计算机应用研究》 CSCD 北大核心 2014年第12期3885-3889,3893,共6页 Application Research of Computers
基金 广东省自然科学基金资助项目(S2013010014543) 广东省科技计划资助项目(2011B040300034)
关键词 筒视线 势函数 流演算 虚拟人 tube line-of-sight potential function fluent calculus virtual human
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参考文献12

  • 1孙立博,孙济洲,刘艳,倪慧.基于反馈控制的自主虚拟人感知模型[J].软件学报,2010,21(5):1171-1180. 被引量:10
  • 2涂序彦.人工生命及应用[C]//中国人工智能学会第一届"人工生命及应用"专题学术会议论文集A集.北京:北京邮电大学出版社.2004:1-13.
  • 3LANGTON C G. Artificial life [ C ]//Proc of an lnterdiseiplinary Workshop on the Synthesis and Simulation of Living Systems. 1987.
  • 4CIAVOI.A B T,GERSHENSON J K. Affordances in technology model- ing[C]//ASME International Design Engineering Technical Confer- ences and Computers and lnibnnalion in Engineering Conference.2012 : 365-372.
  • 5BAJCSY R. Active perception[ J ]. Proceedings of the IEEE, 1988, 76( 8 ) :996-1005.
  • 6NOSER H,THANLMAN D. Synthetic vision and audition for digital actors[J]. Computer Graphics Forum,1995.14(3) :325-336.
  • 7RABIE T F,TERZOPOULOS D. Active perception in virtual humans [ M ]//Vision lnterface. 2000:16-22.
  • 8BOURG D M. AI for game developers[ M]. [ S. l. ] :O' Reilly Media Ine ,2004 : 14-28.
  • 9THIELSCHER M. From situation calctthts to fltlent calculus:state up- date axioms as a solution to the inferential frame problem [ J ]. Artifi- cial Intelligence, 1999, 111 ( 1-2 ) :277-299.
  • 10THIELSCHER M. The fluent calculus:a specification langnage for ro- bots with sensors in nondetenninistic, concrrent,and ramifying envi- ronments, Technical Report CL- 2000- 01 [ R ]. Dresden: Dresden University of Technical CL,2000.

二级参考文献11

  • 1Guo QS,Wang YH.Ergonomics Design.Tianjin:Tianjin University Press,1994 (in Chinese).
  • 2Noser H,Thanlmann D.Synthetic vision and audition for digital actors.Computer Graphics Forum,1995,14(3):325-336.
  • 3Jr Kuffner JJ,Latombe JC.Fast synthetic vision,memory and learning models for virtual humans.In:Thalmann NM,Badler NI,eds.Proc.of IEEE Computer Animation 1999.Washington:IEEE Computer Society Press,1999.118-127.
  • 4Reynolds CW.Computer animation with scripts and actors.ACM Computer Graphics,1982,16(3):289-296.[doi:10.1145/ 965145.801293].
  • 5Reynolds CW.Flocks,herds and schools:A distributed behavioral model.ACM Computer Graphics,1987,21(4):25-34.[doi:10.1145/37402.37406].
  • 6Bordeux C,Boulic R,Thalmann D.An efficient and flexible perception pipeline for autonomous agents.Computer Graphics Forum,1999,18(3):23-30.[doi:10.1111/1467-8659.00324].
  • 7Tu XY.Artificial Fishes-Artificial Life Method for Computer Animation.Beijing:Tsinghua University Press,2001 (in Chinese).
  • 8Noser H,Renault O,Thalmann D,Thalmann NM.Navigation for digital actors based on synthetic vision,memory and learning.Computer and Graphics,1995,19(1):7-19.[doi:10.1016/0097-8493(94)00117-H].
  • 9Courty N,Marchand E.Visual perception based on salient features.In:Billard A,Siegwart R,eds.Proc.of the IEEE Intelligent Robots and Systems (IROS).Washington:IEEE Computer Society Press,2003.1024-1029.
  • 10Conde T,Thalmann D.An artificial life environment for autonomous virtual agents with multi-sensorial and multi-perceptive features.Computer Animation and Virtual Worlds,2004,15(3-4):311-318.[doi:10.1002/cav.34].

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