CN104973054B - 用于基于驾驶员的疲劳控制车辆的驾驶的装置和方法 - Google Patents
用于基于驾驶员的疲劳控制车辆的驾驶的装置和方法 Download PDFInfo
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Abstract
本发明公开了用于基于驾驶员的疲劳控制车辆的驾驶的装置和方法。该装置可包括:第一信息收集器,被配置为收集驾驶员的生物学信息;第二信息收集器,被配置为收集路况信息;路线计算器,被配置为计算从车辆的当前位置到目的地的期望路线;疲劳指数计算器,被配置为将车辆已行驶的路线分为多个段,并且使用生物学信息针对每个段计算疲劳指数,并且使用路况信息校正疲劳指数;预测疲劳指数计算器,被配置为当计算期望路线时,使用校正后的疲劳指数计算对应于期望路线的预测疲劳指数;以及功能提供器,被配置为根据预测疲劳指数计算补偿值,并且通过将补偿值施加于基本操作值而计算最终操作值,并且基于最终操作值为驾驶员提供驾驶员辅助功能。
Description
相关申请的交叉引用
本申请要求于2014年4月4日提交给韩国知识产权局的第10-2014-0040697号的韩国专利申请的优先权和权益,通过引用将其全部内容结合在此。
技术领域
本发明涉及用于基于驾驶员的疲劳控制车辆的驾驶的装置和方法。
背景技术
当驾驶员的驾驶时间由于长距离驾驶和交通拥堵而增加时,由于驾驶员的疲劳引起的交通事故的发生率逐年增加。由于驾驶员的疲劳引起的交通事故的发生率高于由于醉酒驾驶引起的交通事故的发生率。因此,当驾驶员感到疲劳时,驾驶员需要在休息区休息以消除疲劳,但是对于驾驶员来说,难以识别到他/她的疲劳程度。
近年来,已积极地在车辆上安装一种先进的驾驶员辅助系统(ADAS),该系统可以提前识别事故风险以防止事故或者辅助驾驶员驾驶。先进的驾驶员辅助系统(ADAS)可包括:车道偏离警告系统(LDWS)、车道保持辅助系统(LKAS)、防撞系统(CAS)、驾驶员瞌睡检测系统、自动巡航控制(ACC)系统、停车辅助系统(PAS)、自治紧急制动(AEB)系统等。在现有技术中,先进的驾驶员辅助系统基于预先设置的操作值执行诸如车道偏离警告功能等的驾驶员辅助功能。换言之,先进的驾驶员辅助系统具有问题的在于,无法反映驾驶员的疲劳并且简单地使用操作值。因此,需要一种用于考虑驾驶员的疲劳来提供适当的驾驶员辅助功能的方法。
本背景技术部分中公开的上述信息仅用于增强对本公开内容的背景的理解,并且因此它可能包含未构成在该国为本领域的普通技术人员所公知的现有技术的信息。
发明内容
本公开内容致力于使得提供一种用于基于驾驶员的疲劳控制车辆的驾驶的装置和方法,该装置和方法具有通过考虑驾驶员的疲劳为驾驶员提供适当的驾驶员辅助功能的优点。
一种根据本发明的示例性实施方式的用于基于驾驶员的疲劳控制车辆驾驶的装置可包括:第一信息收集器,被配置为收集驾驶员的生物学信息;第二信息收集器,被配置为收集包括道路状况和道路形状的路况信息;路线计算器,被配置为计算从车辆的当前位置到目的地的期望路线;疲劳指数计算器,被配置为将车辆已行驶的路线划分为多个段,并且使用生物学信息计算每个段的疲劳指数,并且使用路况信息校正疲劳指数;预测疲劳指数计算器,被配置为当计算期望路线时,使用校正后的疲劳指数来计算对应于期望路线的预测疲劳指数;以及功能提供器,被配置为根据预测疲劳指数计算补偿值,并且通过将补偿值施加于基本操作值而计算最终操作值,该基本操作值作为用于执行驾驶员辅助功能的参考,并且基于最终操作值向驾驶员提供驾驶员辅助功能。
生物学信息可包括:关于驾驶员的血糖、血压及视力的信息,并且预测疲劳指数可包括:预测血糖指数、预测血压指数和预测视力指数。
功能提供器可根据等式计算补偿值(ΔT),其中,xi表示预测疲劳指数,并且wi表示对应于驾驶员辅助功能和预测疲劳指数的加权值。
第二信息收集器可收集包括关于有无雾、雨、雪和事故的信息的环境信息,并且功能提供器可以使用环境信息校正最终操作值。
一种根据本发明的示例性实施方式的用于基于驾驶员的疲劳控制车辆的驾驶的方法可包括以下步骤:收集驾驶员的生物学信息和包括道路状况和道路形状的路况信息,将车辆已行驶的路线分为多个段并且使用生物学信息对每个段计算疲劳指数;使用路况信息校正疲劳指数;当计算期望路线时,使用校正后的疲劳指数计算对应于期望路线的预测疲劳指数并且根据预测疲劳指数计算补偿值;通过将补偿值施加至作为用于执行驾驶员辅助功能的参考的基本操作值而计算最终操作值;并且根据最终操作值向驾驶员提供驾驶员辅助功能。
生物学信息可包括:关于驾驶员的血糖、血压及视力的信息,并且预测疲劳指数可包括:预测血糖指数、预测血压指数和预测视力指数。
可根据等式计算补偿值(ΔT),其中,xi表示预测疲劳指数,并且wi表示对应于驾驶员辅助功能和预测疲劳指数的加权值。
该方法可进一步包括:收集包括关于有无雾、雨、雪和事故的信息的环境信息,并且使用环境信息校正最终操作值。
根据本发明的示例性实施方式可以通过考虑驾驶员的疲劳来提供适当的驾驶员辅助功能。因此,能够确保驾驶员的安全,且能够避免发生交通事故。
附图说明
图1是根据本发明示例性实施方式的用于基于驾驶员的疲劳控制车辆的驾驶的装置的框图。
图2是根据本发明示例性实施方式的用于基于驾驶员的疲劳控制车辆的驾驶的方法的流程图。
图3是示出了根据本发明示例性实施方式的多个段的示图。
图4是示出了根据本发明示例性实施方式的预测疲劳指数的曲线图。
图5是示出了根据本发明示例性实施方式的基本操作值和最终操作值的曲线图。
符号说明
100:第一信息收集器 200:第二信息收集器
310:路线计算器 320:疲劳指数计算器
330:预测疲劳指数计算器 340:功能提供器
具体实施方式
在下文中,将参考附图更充分地描述本发明内容,在附图中示出了本发明的示例性实施方式。
通篇说明书,除非另有明确相反的说明,否则词语“包括(comprise)”及其诸如“包含(comprises)”或者“含有(comprising)”的变形应被理解为暗含包括所述元件,但并不排除任何其他的元件。此外,在说明书中描述的术语“…器(-er)”,“…单元(-or)”或者“模块”意指用于执行至少一个功能和操作的单元,并且他们能够通过硬件组件或者软件组件及其组合来实现。
通篇说明书,驾驶员辅助功能意指从先进的驾驶员辅助系统(ADAS)提供的、涉及驾驶员的便利和安全的辅助功能。例如,驾驶员辅助功能可包括:车道偏离警告系统(LDWS)的车道偏离警告功能、车道保持辅助系统(LKAS)的车道保持辅助功能、防撞系统(CAS)的防撞功能、驾驶员瞌睡检测系统的防瞌睡功能、自动巡航控制(ACC)系统的自动巡航功能、停车辅助系统(PAS)的停车辅助功能、自治紧急制动(AEB)系统的紧急制动功能等。
图1是根据本发明的示例性实施方式的用于基于驾驶员的疲劳控制车辆的驾驶的装置的框图。
如图1所示,根据本发明的示例性实施方式的用于控制车辆的驾驶的装置300可包括:第一信息收集器100、第二信息收集器200、路线计算器310、疲劳指数计算器320、预测疲劳指数计算器330、以及功能提供器340。
第一信息收集器100收集驾驶员的生物学信息。第一信息收集器100可以从附接至驾驶员身体部分的诸如手表型设备和眼镜型设备的可穿戴设备收集生物学信息。生物学信息可以包括关于驾驶员的血糖、血压及视力等的信息。此外,第一信息收集器100可以收集由驾驶员输入的目的地信息。
第二信息收集器200收集包括道路状况和道路形状的路况信息。第二信息收集器200可以从诸如远程信息处理服务器的远程服务器收集路况信息。路况信息可包括:诸如结冰道路、湿滑道路、崎岖道路、未铺砌道路、高速公路和乡镇道路的道路状况,以及诸如平坦道路、弯曲道路和倾斜道路的道路形状。此外,第二信息收集器200可包括包含关于有无雾、雨、雪和事故的信息的环境信息。
路线计算器310计算从车辆的当前位置至目的地的路线。详细地,当驾驶员输入目的地时,路线计算器310将车辆的当前位置设定为起始位置并设定目的地,从而计算车辆的期望路线。
疲劳指数计算器320将车辆已行驶的路线分为多个段并且使用生物学信息对每个段计算疲劳指数。疲劳指数可以包括血糖指数、血压指数、视力指数等。例如,如图3所示,疲劳指数计算器320可根据预定距离划分车辆已行驶的路线。替换地,疲劳指数计算器320可根据道路形状将车辆已行驶的路线分为多个段。
此外,疲劳指数计算器320可以使用包括道路状况和道路形状的路况信息校正疲劳指数。例如,在道路状况是未铺砌道路的情况下,预期驾驶员的疲劳增加。因此,能够通过使用路况信息校正疲劳指数来精确地计算驾驶员的疲劳。
当路线计算器310计算新路线时,预测疲劳指数计算器330使用校正后的疲劳指数计算对应于期望路线的预测疲劳指数。预测疲劳指数可包括:预测血糖指数、预测血压指数、预测视力指数等。
功能提供器340使用预测疲劳指数为驾驶员提供与驾驶员便利和安全有关的驾驶员辅助功能。
详细地,基本操作值是分别对车道偏离警告功能、车道保持辅助功能、防撞功能、防瞌睡功能等设定的用于执行驾驶员辅助功能的参考。基本操作值被设定为固定值。功能提供器340根据预测疲劳指数计算补偿值。功能提供器340还通过将补偿值施加于基本操作值计算最终操作值并且基于最终操作值为驾驶员提供驾驶员辅助功能。下文将参考图2描述计算最终操作值的过程。
图2是根据本发明示例性实施方式的用于基于驾驶员的疲劳控制车辆的驾驶的方法的流程图。
在步骤S10,第一信息收集器100收集驾驶员的生物学信息,并且第二信息收集器200收集包括道路状况和道路形状的路况信息。在这种情况下,第二信息收集器200可收集包含关于有无雾、雨、雪及事故的信息的环境信息。
在步骤S20,疲劳指数计算器320使用生物学信息计算疲劳指数。详细地,疲劳指数计算器320可将车辆已经行驶的路线分为多个段并且使用生物学信息对每个段计算疲劳指数。
在步骤S30,疲劳指数计算器320使用包括道路状况和道路形状的路况信息校正在步骤S20计算的疲劳指数。
此后,在步骤S40,当通过路线计算器310计算新的期望路线时,预测疲劳指数计算器330计算对应于期望路线的预测疲劳指数。预测疲劳指数可包括预测血糖指数、预测血压指数和预测视力指数。预测疲劳指数计算器330可以将期望路线分为多个段并且使用校正后的疲劳指数对每个段计算预测疲劳指数。
图4是示出了根据本发明示例性实施方式的预测疲劳指数的曲线图。
如图4所示,随着车辆的当前位置与目的地之间的距离减少,预测血糖指数、预测血压指数和预测视力指数可能增加。即,驾驶员的疲劳随着车辆的当前位置与目的地之间的距离减少而增加。
在步骤S50,功能提供器340使用预测疲劳指数对每个段计算驾驶员辅助功能的最终操作值。驾驶员辅助功能与驾驶员的便利和安全相关。
图5是示出了根据本发明的示例性实施方式的基本操作值和最终操作值的曲线图。
例如,如图5所示,验证了能够计算驾驶员辅助功能(例如,车道保持辅助功能)的每个段的基本操作值T和最终操作值T′。在这种情况下,针对驾驶员辅助功能的基本操作值T被设定为固定值。最终操作值T′是随着预测疲劳指数改变的值。
功能提供器340通过以下等式1,将取决于预测疲劳指数的补偿值ΔT施加到基本操作值T而计算最终操作值T′。
(等式1)
T′=T+ΔT
功能提供器340通过以下等式2计算补偿值ΔT。
(等式2)
在此,n是自然数并且表示预测疲劳指数的数量。xi表示预测疲劳指数,并且wi表示对应于驾驶员辅助功能和预测疲劳指数的加权值。此外,n个加权值的和是1。
例如,在表1中示出了由功能提供器340提供的驾驶员辅助功能、预测疲劳指数xi和加权值wi。
表1
例如,在表2中示出了由功能提供器340提供的驾驶模式、预测疲劳指数xi和加权值wi。
表2
在步骤S60,功能提供器340使用包括关于有无雾、雨、雪和事故的信息的环境信息来校正最终操作值T′。
如表3所示,功能提供器340可以使用对应于环境信息的加权值来校正最终操作值T′。
表3
环境信息 | 加权值 |
有雾 | -1% |
有雨 | -3% |
有雪 | -10% |
有事故 | -11% |
在步骤S70,功能提供器340基于最终操作值T′为驾驶员提供驾驶员辅助功能或驾驶模式。
如上所述,根据本发明的示例性实施方式,能够使用期望路线的每个段的预测疲劳指数为驾驶员提供适当的驾驶员辅助功能或驾驶模式。可以通过根据预测疲劳指数控制驾驶员辅助功能和驾驶模式的灵敏度来提供适于驾驶员当前状态的驾驶员辅助功能和驾驶模式。
虽然结合目前被视为实际的示例性实施方式描述了本公开内容,但是应理解,本公开内容不限于所公开的实施方式,而是相反,本公开内容旨在覆盖包括在所附权利要求的实质和范围内的各种变形和等同配置。
Claims (4)
1.一种用于基于驾驶员的疲劳控制车辆的驾驶的装置,包括:
第一信息收集器,被配置为收集驾驶员的生物学信息;
第二信息收集器,被配置为收集包括道路状况和道路形状的路况信息;
路线计算器,被配置为计算从所述车辆的当前位置到目的地的期望路线;
疲劳指数计算器,被配置为将所述车辆已行驶的路线分成多个段,并且使用所述生物学信息针对每个段计算疲劳指数,并且使用所述路况信息校正所述疲劳指数;
预测疲劳指数计算器,当计算所述期望路线时,所述预测疲劳指数计算器被配置为使用校正后的所述疲劳指数计算对应于所述期望路线的预测疲劳指数;以及
功能提供器,被配置为根据所述预测疲劳指数计算补偿值,并且通过将所述补偿值施加于基本操作值来计算最终操作值,并且基于所述最终操作值为所述驾驶员提供驾驶员辅助功能,所述基本操作值是用于执行所述驾驶员辅助功能的参考,
其中,所述生物学信息包括关于所述驾驶员的血糖、血压、及视力的信息,并且所述预测疲劳指数包括预测血糖指数、预测血压指数、和预测视力指数,
其中,所述功能提供器根据等式计算所述补偿值ΔT,其中,xi表示所述预测疲劳指数,并且wi表示与所述驾驶员辅助功能和所述预测疲劳指数对应的加权值。
2.根据权利要求1所述的装置,其中,所述第二信息收集器收集包括关于有无雾、雨、雪、和事故的信息的环境信息,并且所述功能提供器使用所述环境信息校正所述最终操作值。
3.一种用于基于驾驶员的疲劳控制车辆的驾驶的方法,包括以下步骤:
收集驾驶员的生物学信息以及包括道路状况和道路形状的路况信息;
将所述车辆已行驶的路线分成多个段并且使用所述生物学信息针对每个段计算疲劳指数;
使用所述路况信息校正所述疲劳指数;
当计算期望路线时,使用校正后的所述疲劳指数计算对应于所述期望路线的预测疲劳指数并且根据所述预测疲劳指数计算补偿值;
通过将所述补偿值施加于作为用于执行驾驶员辅助功能的参考的基本操作值而计算最终操作值;并且
根据所述最终操作值为所述驾驶员提供所述驾驶员辅助功能,
其中,所述生物学信息包括关于所述驾驶员的血糖、血压、及视力的信息,并且所述预测疲劳指数包括预测血糖指数、预测血压指数、和预测视力指数,
其中,根据等式计算所述补偿值ΔT,其中,xi表示所述预测疲劳指数,并且wi表示与所述驾驶员辅助功能和所述预测疲劳指数对应的加权值。
4.根据权利要求3所述的方法,进一步包括以下步骤:
收集包括关于有无雾、雨、雪、和事故的信息的环境信息;并且
使用所述环境信息校正所述最终操作值。
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