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作 者:金楠 杨芝[2] Jin Nan;Yang Zhi(Shaanxi Railway Engineering Vocational and Technical College,Weinan,Shaanxi,714000;Xi'an University of Science and Technology,Xi'an,Shaanxi,710054)
机构地区:[1]陕西铁路工程职业技术学院,陕西渭南714000 [2]西安科技大学,陕西西安710054
出 处:《现代科学仪器》2023年第1期149-153,共5页Modern Scientific Instruments
基 金:陕西铁路工程职业技术学院课题项目(编号:Ky2017-097);。
摘 要:车道偏离预警系统作为汽车主动安全的重要组成部分,对降低交通事故发生率意义重大。对传统车道偏离预警系统预警精度不高、实时性不强的问题,构建了包含五大模块的车道偏离预警系统,并对Hough算法进行改进,降低其对车道线识别的运算复杂度,提高车道线识别的准确率。将设计的车道线偏离预警系统应用于实车试验中,结果表明该系统对汽车车道偏离预警的准确率高达98.0%,能够很好地对直线车道下车辆的车道偏离进行高精度预警。As an important part of vehicle active safety,lane departure warning system is of great significance to reduce the incidence of traffic accidents.To solve the problem that the traditional lane departure early warning system has low early warning accuracy and real-time performance,a lane departure early warning system including five modules is constructed and the Hough algorithm is improved to reduce the computational complexity of lane line recognition and improve the accuracy of lane line recognition.The designed lane departure early warning system is applied to the real vehicle test.The results show that the accuracy of the system for lane departure early warning is as high as 98.0%,and can well carry out high-precision early warning for lane departure of vehicles under straight lanes.
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