基于数据聚类的人工操作识别及其在自动化系统中的应用

2008 10th IEEE International Workshop on Advanced Motion Control Pub Date : 2008-03-26 DOI:10.1109/AMC.2008.4516102

H. Sato, T. Zanma, M. Ishlda

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引用次数: 1

摘要

人的操作是通过连续操作和逻辑判断相结合来实现的。这样的系统称为混合动力系统(HDS)。在本文中，我们考虑一个驾驶任务。然后利用HDS的一种识别方法聚类方法对任务进行识别。此外，我们也适用于自动驾驶系统。仿真和应用结果均表明了该系统的有效性。

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

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.

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2008 10th IEEE International Workshop on Advanced Motion Control

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