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Active self-landmarking to mobile robot camera calibration through wireless communications.

机译:通过无线通信对移动机器人摄像机进行校准的主动自标记。

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摘要

Mobile robotic platforms are becoming more and more popular, both in scientific research and in commercial settings. Robotic systems are useful for going places or performing tasks that are not suitable for humans to do. Robots are often able to precisely perform complicated or dangerous tasks with little or no human involvement. However, before a mobile robotic platform is able to be deployed, it must have a way of identifying where it is in relation to objects and obstacles around it. Often, this is being performed by using a visual system, such as a camera.;However, just wiring a camera onto a robot is not sufficient. With many of the tasks that are given to a robotic system to perform, a great deal of precision is required to satisfactorily complete these tasks. This precision requires that the robot be given accurate information by the camera.;Most cameras have minor imperfections, even though they are within the manufacturer's tolerances. Some of these imperfections can cause the aspect of the image to be slightly distorted, causing a perfectly square object to appear to be slightly rectangular. This aspect can be corrected with an appropriate scaling factor, reducing or enlarging the size of the image in the horizontal or vertical direction.;Other imperfections in the camera manufacturing process can cause the image sensor to not be exactly aligned with the actual camera housing. This can cause the center point of the image to be slightly off of the center of the image sensor (e.g., the image could be shifted to the left by a few pixels, so the center of the image is actually at 317, 240 instead of 320,240).;This project will implement a camera calibration algorithm that was developed in [1] on mobile robotic platforms to autonomously determine the center point and correct scaling factors for the platform's respective cameras.;These mobile robotic platforms were chosen to be the National Instruments Robotics Starter Kit DaNI. They were programmed using National Instruments graphical programming environment LabVIEW. A robotic platform is to determine the center point and scaling factor of its own camera, using other identical robotic platforms to perform this calibration. The robots can then trade responsibilities, and a different robot can perform the required calibration. This project will also attempt to use wireless communication between the robots, allowing cooperative behavior. This project will also attempt to use the wireless signal strength to determine the locations of the mobile robotic platforms relative to one another.
机译:移动机器人平台在科学研究和商业环境中都越来越受欢迎。机器人系统对于去地方或执行不适合人类执行的任务很有用。机器人通常可以在很少或不需要人工干预的情况下精确地执行复杂或危险的任务。但是,在能够部署移动机器人平台之前,它必须具有一种方法来识别与机器人周围的物体和障碍物有关的位置。通常,这是通过使用视觉系统(例如照相机)来执行的;但是,仅将照相机连接到机器人上是不够的。在赋予机器人系统执行许多任务的过程中,要令人满意地完成这些任务需要很高的精度。这种精度要求摄像机为机器人提供准确的信息。大多数摄像机即使在制造商的公差范围内,仍具有不完善的缺陷。这些瑕疵中的一些会导致图像的外观略微失真,从而导致一个完美的正方形物体看起来略微呈矩形。可以使用适当的缩放比例来校正此方面,以减小或放大水平或垂直方向上的图像大小。相机制造过程中的其他缺陷可能会导致图像传感器与实际的相机外壳未完全对准。这可能会导致图像的中心点稍微偏离图像传感器的中心(例如,图像可能会向左移动几个像素,因此图像的中心实际上位于317、240而不是320,240)。;该项目将实施在[1]中在移动机器人平台上开发的相机校准算法,以自主确定平台的各个相机的中心点并校正比例因子。;这些移动机器人平台被选为国家仪器机器人技术入门套件DaNI。它们是使用National Instruments图形化编程环境LabVIEW进行编程的。机器人平台将使用其他相同的机器人平台执行此校准,以确定其自己的摄像机的中心点和缩放比例。然后,这些机器人可以承担责任,而另一个机器人可以执行所需的校准。该项目还将尝试在机器人之间使用无线通信,从而实现协作行为。该项目还将尝试使用无线信号强度来确定移动机器人平台相对于彼此的位置。

著录项

  • 作者

    Harden, Glenn.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Robotics.;Engineering Electronics and Electrical.;Engineering Computer.
  • 学位 M.S.
  • 年度 2013
  • 页码 87 p.
  • 总页数 87
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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