Identification of human operation using data clustering and its application to automated system

Abstract

Human operation is realized by the combination of continuous operations and logical judgements. Such a system is called a hybrid dynamical system (HDS). In this paper, we consider a driving task. Then we identify the task using the clustering method which is one of identification methods of the HDS. Furthermore, we apply to an automatic driving system. Both simulation and application results illustrate the effectiveness of the system.