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基于HMM模型的驾驶员换道行为识别分析
引用本文:张宇惠 张凤登. 基于HMM模型的驾驶员换道行为识别分析[J]. 电子科技, 2016, 29(6): 34
作者姓名:张宇惠 张凤登
作者单位:(上海理工大学 光电信息与计算机工程学院,上海 200093)
基金项目:上海市自然科学基金资助项目(15ZR1429300)
摘    要:针对行车安全以汽车电子判断驾驶员驾驶方法是否会产生交通事故问题,文中采用隐马尔科夫模型的建立与应用,对驾驶员变换车道行为进行了分析,并利用向前-向后算法解决模型估算问题。通过应用Matlab工具箱进行模型参数集的训练,验证了该模型的有效性。

关 键 词:变换车道  隐马尔科夫模型  Matlab  

Driver Lane Changing Behavior Recognition Based on HMM Model Analysis
ZHANG Yuhui ZHANG Fengdeng. Driver Lane Changing Behavior Recognition Based on HMM Model Analysis[J]. Electronic Science and Technology, 2016, 29(6): 34
Authors:ZHANG Yuhui ZHANG Fengdeng
Affiliation:(School of Optical Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
Abstract:In view of the traffic safety in automotive electronics judgment driver method will cause traffic accidents. In this paper the establishment and application of hidden Markov model, has carried on the analysis to the drivers lane changing behavior, and the forward backward algorithm to solve the model estimation problem. The parameters of the model is the training set by applying Matlab toolbox to verify the validity of the model.
Keywords:lane change  hidden Markov model  Matlab  
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