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Driving action estimating device, driving support device, vehicle evaluating system, driver model creating device, and driving action determining device

机译:驾驶行为估计设备,驾驶支持设备,车辆评估系统,驾驶员模型创建设备和驾驶行为确定设备

摘要

A driver model with higher precision is created as an evaluation standard for a driving condition in a normal condition. By detecting biometric information of a driver, whether a driver is in a usual condition or not is recognized. Then, data of driving conditions are collected while the driver is driving, and from the driving condition data, a part indicating that the driver operates in a usual condition is extracted to create a driver model. Further, the driver model is created taking only a case of driving in a normal condition as a driving action in normal times based on biometric information of the driver, and hence the driver model becomes more precise and neutral. Further, by using a GMM (Gaussian mixture model) for the driver model, a driver model for each driver can be created easily, and moreover, by calculation to maximize a conditional probability, a driving operation action is easily estimated and outputted.
机译:创建具有更高精确度的驾驶员模型作为正常情况下驾驶条件的评估标准。通过检测驾驶员的生物信息,识别驾驶员是否处于正常状况。然后,在驾驶者正在驾驶的同时收集驾驶条件的数据,并且从驾驶条件数据中提取表示驾驶者在通常条件下操作的部分以创建驾驶者模型。此外,基于驾驶员的生物特征信息仅以正常情况下的驾驶情况作为正常时间的驾驶动作来创建驾驶员模型,因此驾驶员模型变得更加精确和中立。此外,通过将GMM(高斯混合模型)用于驾驶员模型,可以容易地创建每个驾驶员的驾驶员模型,此外,通过计算以使条件概率最大化,可以容易地估计和输出驾驶员的驾驶行为。

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