考虑驾驶员夜视距离误差的汽车制动反应模型
发布时间：2019-01-19 11:40
【摘要】：由于夜间汽车制动性能较差,影响汽车行驶的安全保障。夜间人眼视觉存在视觉生理性延迟。在视觉延迟环境下,视认距离会明显缩短。传统的车辆刹车模型未分析夜间驾驶员视觉距离误差因素,以常规视觉距离作为刹车引导依据,导致夜间判断的车辆距离存在较大的偏差,无法构建有效的驾驶紧急刹车反应模型。提出融合人眼夜视距离误差的智能驾驶紧急刹车反应模型,分析不同情况下驾驶员夜视距离特征,塑造驾驶员夜间视认距离-行驶速度-平均光照度关系模型,选取行驶速度、平均道路照度以及夜视距离差三个评估指标计算隶属度,获取最佳刹车反应速度,实现智能紧急刹车控制。实验结果说明,改进模型使驾驶员的刹车反应速度和稳定性有所提高,具有较高的鲁棒性。
[Abstract]:Because of the poor braking performance at night, the safety and security of the vehicle is affected. There is visual physiological delay in nocturnal human vision. In the environment of visual delay, the visual recognition distance will be shortened obviously. The traditional vehicle brake model does not analyze the error factors of the night driver's visual distance, and takes the conventional visual distance as the guiding basis of the brake, which leads to a large deviation of the vehicle distance judged at night. Can not build an effective emergency brake response model. This paper presents an intelligent emergency braking response model which integrates the distance error of human night vision, analyzes the characteristics of drivers' night vision distance under different conditions, shapes the relationship between night vision distance, driving speed and average light intensity, and selects the driving speed. The average road illumination and night vision distance difference are evaluated to calculate the membership degree to obtain the best braking reaction speed and to realize intelligent emergency braking control. The experimental results show that the improved model can improve the braking reaction speed and stability of the driver and has a higher robustness.
【作者单位】： 南京工业职业技术学院国际教育学院;南京工业职业技术学院计算机与软件学院;
【分类号】：U463.5;U491.254;TP273.4
，
本文编号：2411341
[Abstract]:Because of the poor braking performance at night, the safety and security of the vehicle is affected. There is visual physiological delay in nocturnal human vision. In the environment of visual delay, the visual recognition distance will be shortened obviously. The traditional vehicle brake model does not analyze the error factors of the night driver's visual distance, and takes the conventional visual distance as the guiding basis of the brake, which leads to a large deviation of the vehicle distance judged at night. Can not build an effective emergency brake response model. This paper presents an intelligent emergency braking response model which integrates the distance error of human night vision, analyzes the characteristics of drivers' night vision distance under different conditions, shapes the relationship between night vision distance, driving speed and average light intensity, and selects the driving speed. The average road illumination and night vision distance difference are evaluated to calculate the membership degree to obtain the best braking reaction speed and to realize intelligent emergency braking control. The experimental results show that the improved model can improve the braking reaction speed and stability of the driver and has a higher robustness.
【作者单位】： 南京工业职业技术学院国际教育学院;南京工业职业技术学院计算机与软件学院;
【分类号】：U463.5;U491.254;TP273.4
，
本文编号：2411341
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