Method for Detecting Glass Wall with Lidar and Ultrasonic Sensor

Shukun Wu, Shigang Wang
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引用次数: 1

Abstract

In modern architecture, the glass wall has become a widely used element. Two-dimensional lidar is one of many sensors used in robots, but it cannot directly identify the glass wall due to the light transmission characteristics of the laser- facing glass. The ultrasonic sensor can detect the presence of glass due to its working principle, but the general single-line ultrasonic sensor can only detect one point when detecting the glass wall. The detection method mentioned in this article combines two sensors by using image processing-related methods. After the experimental verification of various glass wall occasions, the combination of the two sensors can not only judge whether there is glass in the front, but also identify the position and size of the glass wall, and filter out the point cloud behind the glass in the lidar detection results. The data is thus formed into a whole point cloud data that does not contain the item information behind the glass wall. This paper explores the identification method of the glass wall, which has a lower cost and wider application range.
用激光雷达和超声波传感器检测玻璃墙的方法
在现代建筑中,玻璃墙已成为一种广泛使用的元素。二维激光雷达是机器人中使用的众多传感器之一,但由于激光贴面玻璃的透光特性,它无法直接识别玻璃墙。超声波传感器由于其工作原理可以检测到玻璃的存在,但一般的单线超声波传感器在检测玻璃壁时只能检测到一点。本文所提到的检测方法是利用与图像处理相关的方法将两个传感器结合在一起。经过各种玻璃墙场合的实验验证,两个传感器的组合不仅可以判断前方是否有玻璃,还可以识别玻璃墙的位置和大小,并在激光雷达检测结果中过滤掉玻璃后面的点云。这样,数据就形成了一个完整的点云数据,其中不包含玻璃墙后面的项目信息。本文探索的玻璃墙的识别方法,成本更低,适用范围更广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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