| 驾驶员眼部疲劳视觉检测算法及其ARM+DSP实现 |
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| 引用本文： | 孙伟,张小瑞,唐慧强,张为公.驾驶员眼部疲劳视觉检测算法及其ARM+DSP实现[J].电子技术应用,2012,38(2):24-27. |
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| 作者姓名： | 孙伟 张小瑞 唐慧强 张为公 |
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| 作者单位： | 1. 南京信息工程大学 信息与控制学院,江苏南京,210044
2. 东南大学 仪器科学与工程学院,江苏 南京,210096 |
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| 基金项目： | 国家科技支撑计划资助项目 |
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| 摘 要： | 将ARM+DSP技术应用于驾驶员的疲劳检测,使用S3C2440作为核心处理器,利用TMS320DM642作为视频采集处理模块,详细讨论了硬件平台与接口的设计。提出了一种简单有效的基于眼部特征的疲劳驾驶检测算法,结合单目机器视觉实现了驾驶员眼部睁闭状态的有效判定和疲劳驾驶的实时检测。在沪宁高速南京段的实验结果表明,该算法的实时性与精确性可以满足安全行驶的要求。
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| 关 键 词： | 疲劳驾驶检测 眼部特征 改进积分投影 ARM+DSP |
Eye fatigue vision detection algorithm for driver and realization on ARM+DSP system |
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| Sun Wei
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Zhang Xiaorui
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Tang Huiqiang
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Zhang Weigong.Eye fatigue vision detection algorithm for driver and realization on ARM+DSP system[J].Application of Electronic Technique,2012,38(2):24-27. |
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| Authors: | Sun Wei Zhang Xiaorui Tang Huiqiang Zhang Weigong |
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| Affiliation: | 1.School of Information and Control,Nanjing University of Information Science and Technology,Nanjing 210044,China; 2.School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China) |
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| Abstract: | The ARM+DSP technology is used to detect the fatigue driving for the drivers.S3C2440 is used as the core processor,TMS320DM642 is utilized as the video capture and processing module,and the design of the hardware platform and the interface is discussed.A simple and effective fatigue driving detection algorithm based on eye feature is proposed to realize the judgement of open-close state of eye and the real-time detection of fatigue driving.Experiments conducted on Hu-ning highway show that the algorithm is fast and accurate for the safety of driving. |
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| Keywords: | fatigue driving detection eye feature improved integral projection ARM+DSP |
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