椭圆度
计算机视觉
人工智能
RGB颜色模型
立体摄像机
投影机
计算机科学
机器人
激光器
光度立体
计算机图形学(图像)
光学
工程类
物理
图像(数学)
结构工程
作者
Amal Gunatilake,Lasitha Piyathilaka,Sarath Kodagoda,Stephen Barclay,Dammika Vitanage
标识
DOI:10.1109/iciea.2019.8834089
摘要
This paper is focused on delivering a solution that can scan and reconstruct the 3D profile of a pipeline in realtime using a crawler robot. A structured infrared (IR) laser ring projector and a stereo camera system are used to generate the 3D profile of the pipe as the robot moves inside the pipe. The proposed stereo system does not require field calibrations and it is not affected by the lateral movement of the robot, hence capable of producing an accurate 3D map. The wavelength of the IR light source is chosen to be non overlapping with the visible spectrum of the color camera. Hence RGB color values of the depth can be obtained by projecting the 3D map into the color image frame. The proposed system is implemented in Robotic Operating System (ROS) producing real-time RGB-D maps with defects. The defect map exploit differences in ovality enabling real-time identification of structural defects such as surface corrosion in pipe infrastructure. The lab experiments showed the proposed laser profiling system can detect ovality changes of the pipe with millimeter level of accuracy and resolution.
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