The invention discloses a driver takeover capability prediction method under an automatic driving system, belongs to the field of intelligent traffic, and aims to solve the technical problems that: the existing automatic driving popularity rate is continuously improved, accidents of an automatic driving automobile occur frequently, and the existing research is insufficient in attention to a driver. The prediction method comprises the following steps: 1, establishing a takeover capability prediction system, wherein the system comprises driving capability, an initial state and a real-time state; 2, scoring takeover performance of a driver, wherein the takeover performance includes alertness, sensitivity and operation stability; 3, constructing a prediction model, firstly determining a characteristic index judgment threshold value, establishing a takeover capability grade judgment model, and calculating a driver takeover capability comprehensive judgment value under a k grade through an actual measured value and a grade judgment threshold value of a driving characteristic index; and 4, optimizing and correcting the takeover capability grade judgment model. The driver state recognition system is established, the takeover capability is predicted, the takeover capability level is displayed in real time, and system intelligence is promoted.
一种自动驾驶系统下的驾驶人接管能力预测方法,本发明属于智能交通领域,它为了解决现有自动驾驶普及率不断提高,而自动驾驶汽车事故频发,现有研究对驾驶人关注不足的技术问题。预测方法:一、建立接管能力预测系统,该系统包括驾驶能力、初始状态和实时状态;二、接管绩效应包含警觉度、灵敏度和操作稳定度,对驾驶人接管绩效评分;三、构建预测模型,首先确定特征指标判别阈值,建立接管能力等级判定模型,通过驾驶特征指标的实际测定值和等级判定阈值,计算在k等级下驾驶人接管能力综合判定值;四、对接管能力等级判定模型进行优化修正。本发明建立一种驾驶人状态识别系统,预测接管能力,实时显示接管能力等级,促进系统智能化。
Driver takeover capability prediction method under automatic driving system
一种自动驾驶系统下的驾驶人接管能力预测方法
2021-12-07
Patent
Electronic Resource
Chinese
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