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Scanning Camera and Augmented Reality Based Localization of Omnidirectional Robot for Indoor Application

机译:基于扫描相机和增强现实的室内全方位机器人定位

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The aim of this paper is to develop an absolute visual localization system of an Omni wheeled robot for indoor navigation. Omni wheeled based robots have omni directional drive capacity. Conventional localization technique like odometry is not suitable for such drives due to wheel slippage. An omni robot platform with 4 omni-directional wheels powered by dynamixel motor and a scanning platform has been developed. We have implemented a localization technique using camera as visual sensor and multiple markers based on ‘ArToolKiT’ an augmented reality application. Various camera related distortion were reduced using 2 nd order surface fit of camera calibration data. To increase the accuracy of the system, fusion of results from multiple markers has been implemented. Performance of the proposed localization has been verified by studying different pattern based movement of the system in a test area of 5m X 5m. Novelty of this paper is in development of an omni wheeled robotic wheelchair and proposing a robust absolute visual based localization set up with single camera and multiple fused markers for indoor navigation.
机译:本文的目的是开发用于室内导航的Omni轮式机器人的绝对视觉定位系统。全轮式机器人具有全向驱动能力。由于车轮打滑,像里程表这样的常规定位技术不适用于此类驱动器。已经开发了具有由dynamixel电机驱动的4个全向轮的全向机器人平台和一个扫描平台。我们基于增强现实应用程序“ ArToolKiT”,实现了一种使用相机作为视觉传感器和多个标记的定位技术。使用相机校准数据的二阶表面拟合可以减少与相机相​​关的各种失真。为了提高系统的准确性,已经实现了来自多个标记物的结果融合。通过在5m X 5m的测试区域中研究系统基于模式的不同运动,已验证了所建议的定位性能。本文的新颖性在于全轮机器人轮椅的开发,并提出了基于单个摄像头和多个融合标记的稳健的基于绝对视觉的定位,用于室内导航。

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