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Sensor-based Navigation of Air-duct Inspection Mobile Robots

机译:基于传感器的空调检查移动机器人导航

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This paper deals with an image sensor system and its position estimation algorithm for autonomous duct cleaning and inspection mobile robots. For the real application, a hierarchical control structure that consists of robot motion controller and image sensor system is designed considering the efficient and autonomous motion behaviors in narrow space such as air ducts. The sensor system consists of a CCD camera and two laser sources to generate slit beams. The image of the structured lights is used for calculating the geometric parameters of the air ducts which are usually designed with a rectangular section. With the acquired 3D information about the environment, the mobile robot with two differential driving wheels is able to autonomously navigates along the duct path without any human intervention. For real time navigation, the relative position estimation of the robot are performed from 3D image reconstructed by the sensor system. The calibration and image processing methods sued for the sensor system are presented with the experimental data. The experimental results show the possibility of the sensor based navigation which is important for effective duct cleaning by small mobile robots.
机译:本文涉及自动管道清洁和检测移动机器人的图像传感器系统及其位置估计算法。对于真实应用,考虑诸如空气管道的狭窄空间中的有效和自主运动行为,设计了由机器人运动控制器和图像传感器系统组成的层次控制结构。传感器系统由CCD相机和两个激光源组成,以产生狭缝光束。结构灯的图像用于计算通常设计有矩形部分的空气管道的几何参数。利用关于环境的获取的3D信息,具有两个差动驱动轮的移动机器人能够沿着导管路径自动导航,而不会有任何人为干预。对于实时导航,从传感器系统重建的3D图像执行机器人的相对位置估计。为传感器系统起作用的校准和图像处理方法具有实验数据。实验结果表明了基于传感器的导航的可能性,这对于小型移动机器人的有效管道清洁很重要。

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