Optical Sensing Evaluations of Ultra-Low Reflective Paintings

被引：1
|
作者：
Fujiwara, Kiyoshi [1 ]
Sumi, Yasushi [1 ]
Kodama, Masato [2 ]
机构：
[1] Natl Inst Adv Ind Sci & Technol, 1-1 Umezono, Tsukuba, Ibaraki 3058568, Japan
[2] Altech Corp, 1-6-1 Takezono, Tsukuba, Ibaraki 3050031, Japan
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR) | 2021年
关键词：
D O I：
10.1109/ISR50024.2021.9419521
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Safety sensors for robots such as LiDAR, which are widely used, are based on the premise that infrared light is sufficiently reflected. Today, painting materials with extremely low reflectivity are available. Without sufficient reflection, sensors may be misidentified. This paper measures ultra-low reflective paint's reflectivity and show how typical depth sensors measure such reflectivity.
引用
收藏
页码：182 / 185
页数：4
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