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Research on Object Location Method of Inspection Robot Based on Machine Vision

机译:基于机器视觉的检测机器人目标定位方法研究

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The inspection space environment of indoor inspection robot in substation is complex and changeable. To acquire autonomous positioning and navigation of inspection robot in substation, which makes it difficult for indoor inspection robot to locate and identify images, this paper proposes a visual positioning method to solve the problem. The realization process of inspection robot vision navigation is to use the wireless detection RFID tag to roughly locate the robot, and use the target image information extracted by a camera to perform ranging, and judge the forward direction of the robot through image processing and pattern recognition. Finally, according to the information stored in the RFID tag, the task type of the robot in a certain position in the substation is determined and executed. The experiment runs in the actual substation environment, and the control algorithm can quickly complete the correction of the deviation from the predetermined track position. At the same time, it shows the characteristics of fast path recognition, accurate discrimination, with flexibility and portability.
机译:变电站室内巡检机器人的巡检空间环境复杂多变。为了实现变电站巡检机器人的自主定位和导航,使室内巡检机器人难以对图像进行定位和识别,本文提出了一种视觉定位方法来解决这一问题。巡检机器人视觉导航的实现过程是利用无线检测RFID标签对机器人进行粗略定位,利用摄像头提取的目标图像信息进行测距,并通过图像处理和模式识别判断机器人的前进方向。最后,根据RFID标签中存储的信息,确定并执行机器人在变电站特定位置的任务类型。实验在实际变电站环境下运行,控制算法能够快速完成对预定轨道位置偏差的校正。同时,它还具有路径识别速度快、识别准确、灵活性和可移植性强的特点。

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