管道检测机器人视觉同步定位与制图(VSLAM)研究

Dennis Krys, H. Najjaran
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引用次数: 39

摘要

本文介绍了一种用于管道检测机器人的视觉同步定位与制图(VSLAM)方法,该方法可作为管道内无损检测(NDT)传感器的载体。该方法采用多传感器融合系统,同时执行机器人的两个重要功能:构建管道内表面的全局图像和提供无损检测传感器的位置。融合涉及图像拼接和航位推算之间的协同作用。更准确地说,数码相机的连续图像在惯性导航系统(INS)的帮助下被拼接在一起。该模型显著降低了图像拼接的处理负荷,同时防止了惯导系统的误差累积。该模型的功能是通过一个模拟器来验证的,该模拟器模拟了管道检查机器人在总水管内的运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Visual Simultaneous Localization and Mapping (VSLAM) for a Pipe Inspection Robot
This paper describes a visual simultaneous localization and mapping (VSLAM) method for a pipe inspection robot that can serve as a carrier for nondestructive testing (NDT) sensors inside in-service water mains. The proposed method features a multi-sensor fusion system that simultaneously executes two important functions of the robot: construct a global image of the internal surface of the pipe and provide the location of the NDT sensors. The fusion involves a synergy between image mosaicing and dead reckoning. More precisely, the sequential images of a digital camera are stitched together with the help of an inertial navigation system (INS). In the proposed model, the processing load of image mosaicing is reduced significantly, and at the same time the accumulation of error of the INS is prevented. The functionality of the model is verified using a simulator that mimics the motion of a pipe inspection robot inside a water main.
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