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A study on hovering control of small aerial robot by sensing existing floor features

机译:传感现有楼层特征对小型空中机器人的控制控制研究

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摘要

Since precise self-position estimation is required for autonomous flight of aerial robots, there has been some studies on self-position estimation of indoor aerial robots. In this study, we tackle the self-position estimation problem by mounting a small downward-facing camera on the chassis of an aerial robot. We obtain robot position by sensing the features on the indoor floor. In this work, we used the vertex points (tile corners) where four tiles on a typical tiled floor connected, as an existing feature of the floor. Furthermore, a small lightweight microcontroller is mounted on the robot to perform image processing for the on-board camera. A lightweight image processing algorithm is developed. So, the real-time image processing could be performed by the microcontroller alone which leads to conduct on-board real time tile corner detection. Furthermore, same microcontroller performs control value calculation for flight commanding. The flight commands are implemented based on the detected tile corner information. The above mentioned all devices are mounted on an actual machine, and the effectiveness of the system was investigated.
机译:由于空中机器人的自主飞行所需的精确自我定位估计,因此有一些研究室内空中机器人的自我定位估计。在这项研究中,我们通过在空中机器人的底盘上安装一个小向下的相机来解决自定位估计问题。通过传感室内地板上的功能,我们获得机器人位置。在这项工作中,我们使用顶点(瓷砖角),其中典型的瓷砖​​地板上有四个瓷砖,作为地板的现有特征。此外,小型轻质微控制器安装在机器人上,以对车载相机进行图像处理。开发了一种轻量级图像处理算法。因此,可以由单独的微控制器执行实时图像处理,这导致导通的实时瓷砖角检测。此外,相同的微控制器对飞行命令执行控制值计算。飞行命令是基于检测到的瓦片角信息实现的。上述所有器件安装在实际机器上,并研究了系统的有效性。

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