%0 Journal Article
	%A Yuji Kageyama and  Shin Nagata and  Tatsuya Takino and  Izuru Nomura and  Hiroyuki Kamata
	%D 2015
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 97, 2015
	%T Study on the Self-Location Estimate by the Evolutional Triangle Similarity Matching Using Artificial Bee Colony Algorithm
	%U https://publications.waset.org/pdf/10000314
	%V 97
	%X In previous study, technique to estimate a self-location by using a lunar image is proposed.We consider the improvement of the conventional method in consideration of FPGA implementationin this paper. Specifically, we introduce Artificial Bee Colony algorithm for reduction of search time.In addition, we use fixed point arithmetic to enable high-speed operation on FPGA.

	%P 197 - 201