【摘要】：由于夜間汽車制動(dòng)性能較差,影響汽車行駛的安全保障。夜間人眼視覺存在視覺生理性延遲。在視覺延遲環(huán)境下,視認(rèn)距離會(huì)明顯縮短。傳統(tǒng)的車輛剎車模型未分析夜間駕駛員視覺距離誤差因素,以常規(guī)視覺距離作為剎車引導(dǎo)依據(jù),導(dǎo)致夜間判斷的車輛距離存在較大的偏差,無法構(gòu)建有效的駕駛緊急剎車反應(yīng)模型。提出融合人眼夜視距離誤差的智能駕駛緊急剎車反應(yīng)模型,分析不同情況下駕駛員夜視距離特征,塑造駕駛員夜間視認(rèn)距離-行駛速度-平均光照度關(guān)系模型,選取行駛速度、平均道路照度以及夜視距離差三個(gè)評(píng)估指標(biāo)計(jì)算隸屬度,獲取最佳剎車反應(yīng)速度,實(shí)現(xiàn)智能緊急剎車控制。實(shí)驗(yàn)結(jié)果說明,改進(jìn)模型使駕駛員的剎車反應(yīng)速度和穩(wěn)定性有所提高,具有較高的魯棒性。
[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.
【作者單位】： 南京工業(yè)職業(yè)技術(shù)學(xué)院國(guó)際教育學(xué)院;南京工業(yè)職業(yè)技術(shù)學(xué)院計(jì)算機(jī)與軟件學(xué)院;
【分類號(hào)】：U463.5;U491.254;TP273.4
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本文編號(hào)：2411341