AI搭載マイコンによる既設照明光を用いた自己位置推定

抄録

In this paper, the authors propose a method that changes the existing illumination light individual identification method CEPHEID, which used the classification neural network model, to a recurrent neural network model. In their previous method, it is difficult to improve the resolution of position estimation because the resolution of position estimation depends on the spatial interval of the lighting equipment. Then, the authors newly idea that the resolution of position estimation could be improved by using a regression neural network. Finally, implemented it on an AI-capable MCU and conducted a self-position estimation experiment.