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DRIVING INATTENTION CLASSIFICATION SYSTEM ACCURATELY POINTING THE INATTENTION OF A DRIVER

机译:驾驶识别分类准确地驱动驾驶员的识别

摘要

PURPOSE: Driving inattention classification system is provided to moderately react by accurately recognizing the kind of driver inattention.;CONSTITUTION: Driving inattention classification system comprises MSDLP calculation module(110), a steering angle detection module(120), a SRR calculation module(130), and a Driving inattention classification module(140). The MSDLP calculation module receives lane position data, sets baseline location by using the lane position data, and calculates the difference between the deviation of lane position data and the standard baseline location for sliding window time. The steering angle detection module receives steering angle data of a vehicle, classifies the steering angle data to visual inattention, and cognitive inattention data respectively. The SRR calculation module compares a third deviation standard and a fourth deviation standard. The SRR calculation module generates a second compared result(INFORM2) and a third compared result(INFORM3).;COPYRIGHT KIPO 2012
机译:目的:提供驾驶注意力不集中分类系统,以通过准确识别驾驶员注意力不集中的种类来适当地做出反应。;构成:驾驶注意力不集中分类系统包括MSDLP计算模块(110),转向角检测模块(120),SRR计算模块(130) ),以及驾驶注意力不集中分类模块(140)。 MSDLP计算模块接收车道位置数据,使用车道位置数据设置基线位置,并计算车道位置数据的偏差与滑动窗口时间的标准基线位置之间的差。转向角检测模块接收车辆的转向角数据,将转向角数据分别分类为视觉上的疏忽和认知上的疏忽。 SRR计算模块比较第三偏差标准和第四偏差标准。 SRR计算模块生成第二个比较结果(INFORM2)和第三个比较结果(INFORM3)。; COPYRIGHT KIPO 2012

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