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
Link To Document :
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