パーティクルフィルタとセルオートマトンの組み合わせによる自己位置推定

～ 静止物体の推定精度評価 ～

抄録

The purpose of this research is to improve the accuracy of the calculation of localization of a stationary object by combining cellular automata with particle filter. We conducted position estimation experiment of a stationary red object in order to verify of the proposed method. As a result, the error of estimated position decreased compared to the traditional particle filter approach. Since the significant improvement was not obtained, we continue to discuss the combination method of particle filter and cellular automata.