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科技导报  2014 

基于Logistic模型的驾驶人换道意图识别方法

DOI: 10.3981/j.issn.1000-7857.2014.14.011, PP. 69-73

Keywords: 车道变换,意图识别,Logistic,模型

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Abstract:

为有效降低车道变换行为诱发事故的风险性,提出一种基于Logistic模型的驾驶人换道意图识别方法。利用faceLAB视觉追踪系统,通过真实环境下的实车测试,结合换道前驾驶人对后视镜的注视特性确定换道意图时窗,分析车道保持与换道意图阶段的注视特性差异,提取扫视次数、扫视幅度、水平方向视觉搜索广度、头部水平转动角度标准差等驾驶人换道意图特征指标,构建了Logistic模型,并经效度检验后应用于对驾驶人换道意图的识别。结果显示,基于Logistic模型的驾驶人换道意图识别方法的识别成功率达到90.24%,与基于转向灯信号的驾驶人换道意图识别方法相比,具有明显的时序及成功率方面的优势。

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