@article{(Open Science Index):https://publications.waset.org/pdf/1060,
	  title     = {Capturing an Unknown Moving Target in Unknown Territory using Vision and Coordination},
	  author    = {Kiran Ijaz and  Umar Manzoor and  Arshad Ali Shahid},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we present an extension to Vision Based
LRTA* (VLRTA*) known as Vision Based Moving Target Search
(VMTS) for capturing unknown moving target in unknown territory
with randomly generated obstacles. Target position is unknown to the
agents and they cannot predict its position using any probability
method. Agents have omni directional vision but can see in one
direction at some point in time. Agent-s vision will be blocked by the
obstacles in the search space so agent can not see through the
obstacles. Proposed algorithm is evaluated on large number of
scenarios. Scenarios include grids of sizes from 10x10 to 100x100.
Grids had obstacles randomly placed, occupying 0% to 50%, in
increments of 10%, of the search space. Experiments used 2 to 9
agents for each randomly generated maze with same obstacle ratio.
Observed results suggests that VMTS is effective in locate target
time, solution quality and virtual target. In addition, VMTS becomes
more efficient if the number of agents is increased with proportion to
obstacle ratio.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {2},
	  year      = {2008},
	  pages     = {304 - 310},
	  ee        = {https://publications.waset.org/pdf/1060},
	  url   	= {https://publications.waset.org/vol/14},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 14, 2008},
	}