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Visualized Small-size Pipeline Model Building Using Multilink-articulated Wheeled In-pipe Inspection Robot

Dianzhen Guo, Zhaohan Yuan, Sheng Bao, Jianjun Yuan, Shugen Ma, Liang Du

Year
2021
Citations
8

Abstract

In this paper, we use a multilink-articulated wheeled in-pipe robot to develop an industrial solution for the visualized model of the small-size pipeline (less than 200mm) with unknown layout and diameter. We build visualized pipeline model based on small-size inertial measurement unit (IMU) and encoder instead of large-size optical device such as CCD cameras or radar which are expensive and complicated to operate easily. To improve the accuracy of the visualized pipeline model, a multi-sensor data fusion algorithm is developed and the error caused by the gravity factor has been eliminated by using the gradient descent algorithm. The proposed method is experimentally verified in U-Shaped pipeline.

Keywords

Pipeline (software)Inertial measurement unitEncoderRobotComputer scienceComputer visionArtificial intelligenceInertial frame of reference

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