TY - JFULL AU - Yuji Kageyama and Shin Nagata and Tatsuya Takino and Izuru Nomura and Hiroyuki Kamata PY - 2015/2/ TI - Study on the Self-Location Estimate by the Evolutional Triangle Similarity Matching Using Artificial Bee Colony Algorithm T2 - International Journal of Electronics and Communication Engineering SP - 196 EP - 201 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10000314 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 97, 2015 N2 - 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. ER -