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首页> 外文期刊>Leukos >Pedestrian Detection with Near and Far Infrared Night Vision Enhancement
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Pedestrian Detection with Near and Far Infrared Night Vision Enhancement

机译：具有近红外和远红外夜视功能的行人检测

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摘要

Current headlighting and road lighting are only partly effective in reducing the risk of driving at night. To further reduce this risk, two major sensing technologies for night vision systems have been receiving particular development interest: near infrared (NIR) systems, which actively illuminate the scene in the near infrared spectrum and capture the reflected radiation, and far ityrared (FIR) systems, which generate images by passively detecting thermal emissions. To compare pedestrian detection with night vision systems, a test vehicle equipped with an NIR and an FIR system was driven at night on several roads with pedestrians standing along the route. Video clips, recorded from both systems simultaneously, were later shown in a laboratory to 16 subjects (eight younger than 30 years and eiglvt older than 64 years). Subjects pressed a button as soon as they saw each pedestrian. Detection distances with FIR were, on average, three times greater than with NIR. For both systems, detection distances of younger subjects were about 1.7 greater than of older drivers. The effectiveness of night vision systems can be expected to depend on inherent advantages of either technology as well as the details of implementation. To the extent that tlie two systems used in this experiment reasonably represent the respective technologies, trie results support the expected enhancement of pedestrian detection in FIR systems.
机译：当前的前照灯和道路照明仅能部分有效地降低夜间驾驶的风险。为了进一步降低这种风险，用于夜视系统的两种主要传感技术受到了特别的发展兴趣：近红外（NIR）系统，该系统主动照亮近红外光谱中的场景并捕获反射的辐射，而远红外（FIR）通过被动检测热辐射来生成图像的系统。为了将行人检测与夜视系统进行比较，夜间在几条道路上驾驶装有NIR和FIR系统的测试车，行人沿路线站立。从这两个系统同时录制的视频片段后来在实验室中显示给16个对象（年龄在30岁以下的八个人和年龄在64岁以上的八个人）。受试者在看到每个行人后立即按下按钮。 FIR的检测距离平均是NIR的三倍。对于这两种系统，年轻受试者的检测距离比老年驾驶员大约1.7倍。可以预期夜视系统的有效性取决于任何一种技术的固有优势以及实施的细节。就此实验中使用的两个系统合理地代表各自的技术而言，这些结果支持了FIR系统中行人检测的预期增强。

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  • 来源
    《Leukos》 |2008年第4期|113-128|共16页
  • 作者

    Omer Tsimhoni; Jonas Baergman; Michael J. Flannagan;

  • 作者单位

    The University of Michigan Transportation Research Institute, Ann Arbor, Michigan 48109- 2150 U.S.A;

    The University of Michigan Transportation Research Institute, Ann Arbor, Michigan 48109- 2150 U.S.A;

    The University of Michigan Transportation Research Institute, Ann Arbor, Michigan 48109- 2150 U.S.A;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    night vision; near infrared; far infrared;

    机译：夜间视力;近红外;远红外线;

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