抄録
Recently, mobile robots are expected to be used in various fields. Recognition of the self-position is important to move autonomously in the environments. Dead reckoning is used widely as the way to recognize the self-position. However, the localization error is unavoidable in dead reckoning. In this paper, we propose a method for improving the precision of dead reckoning by predicting its localization error by using the AR model which is a time series analysis model.
