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Vision-Based Safety-Related Sensors in Low Visibility by Fog

机译:基于视觉的安全相关传感器雾可见度低

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摘要

Mobile service robots are expanding their use to outdoor areas affected by various weather conditions, but the outdoor environment directly affects the functional safety of robots implemented by vision-based safety-related sensors (SRSs). Therefore, this paper aims to set the fog as the environmental condition of the robot and to understand the relationship between the quantified value of the environmental conditions and the functional safety performance of the robot. To this end, the safety functions of the robot built using SRS and the requirements for the outdoor environment affecting them are described first. The method of controlling visibility for evaluating the safety function of SRS is described through the measurement and control of visibility, a quantitative means of expressing the concentration of fog, and wavelength analysis of various SRS light sources. Finally, object recognition experiments using vision-based SRS for robots are conducted at low visibility. Through this, it is verified that the proposed method is a specific and effective method for verifying the functional safety of the robot using the vision-based SRS, for low visibility environmental requirements.
机译:移动服务机器人正在扩展其对受各种天气条件影响影响的户外区域,但室外环境直接影响由基于视觉的安全相关传感器(SRS)实现的机器人的功能安全性。因此,本文旨在将雾作为机器人的环境状况设定,了解环境条件的量化值与机器人的功能安全性能之间的关系。为此,首先描述使用SRS建造的机器人的安全功能以及影响它们的室外环境的要求。通过测量和控制可视性的测量和控制来描述用于评估SRS安全功能的检测方法,表达雾浓度的定量手段,以及各种SRS光源的波长分析。最后,使用基于视觉的机器人的对象识别实验以低可见性进行。通过这一点,验证了所提出的方法是使用基于视觉的SRS验证机器人功能安全的特定有效的方法,用于低可见性环境要求。

著录项

  • 期刊名称 Sensors (Basel Switzerland)
  • 作者

    Bong Keun Kim; Yasushi Sumi;

  • 作者单位
  • 年(卷),期 2020(20),10
  • 年度 2020
  • 页码 2812
  • 总页数 16
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

    机译:雾;功能安全;低可视性;安全相关传感器(SRS);光谱透射率;

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