• DocumentCode
    131026
  • Title

    A method of CGF formation control with enhanced reality

  • Author

    Fengxia Li ; Fei Jie ; Chen Liu ; Lu Song

  • Author_Institution
    Lab. of Intell. Inf. Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    963
  • Lastpage
    966
  • Abstract
    In order to improve the unreasonable behaviors of entities in traditional formation control, a new method with enhanced reality was presented. In the method, a following behavior based on trajectory was used to improve follower entities´ performance in vertical direction and the follower entities´ over-depending on leader entity was adjusted. Furthermore, the aim path-planning in formation change was achieved through generic algorithm. The method has been applied to a CGF simulation system. The experimental results show that the proposed algorithm is indeed an effective way to improve the reality of entities´ behaviors in formation control and the possibility of collision is significantly reduced.
  • Keywords
    collision avoidance; genetic algorithms; military systems; trajectory control; CGF formation control; CGF simulation system; collision; combat simulation; computer generated force; enhanced reality; entities behaviors; follower entities over-depending; follower entities performance; following behavior; formation change; generic algorithm; genetic algorithm; leader entity; path-planning; trajectory; Benchmark testing; Biological cells; Lead; Planning; Trajectory; Vectors; computer generated forces; formation control; genetic algorithm; reality enhanced; trajectory based following;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933725
  • Filename
    6933725