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Study on the Self-Location Estimate by the Evolutional Triangle Similarity Matching Using Artificial Bee Colony Algorithm

Authors: Hiroyuki Kamata, Yuji Kageyama, Shin Nagata, Tatsuya Takino, Izuru Nomura

Abstract:

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.

Keywords: SLIM, Artificial Bee Colony Algorithm, location estimate

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338066

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References:


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