Modeling and Recognition of Human Driving Behavior based on Stochastic Switched ARX model
Modeling and Recognition of Human Driving Behavior based on Stochastic Switched ARX model
复制标题
基于随机切换ARX模型的人类驾驶行为建模与识别
DOI：
10.1109/cdc.2005.1582970
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
H. Fujinami
中科院分区：
文献类型：
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作者：
Tatsuya Suzuki;Shogo Sekizawa;S. Inagaki;S. Hayakawa;N. Tsuchida;Taishi Tsuda;H. Fujinami
针对驾驶员的避碰行为，提出了一种基于随机切换ARX模型（SS-ARX）的驾驶行为建模方法。首先，介绍了基于EM算法的SS-ARX模型参数估计技术。这可以通过扩展传统隐马尔可夫模型（HMM）的参数估计技术来实现。其次，将参数估计技术应用于收集的驾驶数据，并找到每个驾驶数据的参数集。驾驶数据的采集是通过使用基于CAVE的三维驾驶模拟器，提供立体沉浸式视觉。最后，对SS-ARX模型作为识别器的性能进行了检验。结果表明，SS-ARX模型作为行为识别器的潜力很大。
This paper presents a development of the modeling of the human driving behavior based on the expression as Stochastic Switched ARX model (SS-ARX) focusing on the driver’s collision avoidance behavior. First, the parameter estimation technique for the SS-ARX model is introduced based on the EM algorithm. This can be achieved by extending the parameter estimation technique for conventional Hidden Markov Model (HMM). Second, the parameter estimation technique is applied to the collected driving data, and find parameter set for each driving data. The driving data are collected by using the three-dimensional driving simulator based on CAVE, which provides stereoscopic immersive vision. Finally, the performance of the SS-ARX model in the case of using as the recognizer is examined. The results show the high potential ability of the SS-ARX model as the behavior recognizer.
DOI：
10.1109/tsmcb.2005.850168
发表时间：
2005-12
期刊：
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
影响因子：
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作者：
Jong-Hae Kim;S. Hayakawa;Tatsuya Suzuki;K. Hayashi;S. Okuma;N. Tsuchida;M. Shimizu;S. Kido
通讯作者：
Jong-Hae Kim;S. Hayakawa;Tatsuya Suzuki;K. Hayashi;S. Okuma;N. Tsuchida;M. Shimizu;S. Kido