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2D monocular visual odometry using mobile-phone sensors

机译:使用手机传感器的2D单眼视觉测距法

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Smartphone equipped with a high-resolution camera and a variety of motion sensors is a lightweight, inexpensive, and flexible choice for micro-unmanned aerial vehicles (micro-UAVs) payloads. In this study, a Samsung Galaxy S3 smartphone is selected as an on-board sensor platform for UAV localization in an environment that does not have the option of Global Positioning System (GPS)-based navigation. A multi-sensor UAV localization scheme is proposed and developed by using the phone built-in camera, pressure sensor, and orientation sensor. The proposed method does not have to reconstruct an environment map. Furthermore, both indoor and outdoor experiments are carried out based on a robot arm and an eight-rotor UAV, respectively. Experimental results validate the effectiveness of the implemented scheme and corresponding algorithms. A video of this work is available at pan.baidu.com/s/10IwQM.
机译:配备了高分辨率相机和各种运动传感器的智能手机是轻型,廉价且灵活的微型无人飞行器(micro-UAV)有效载荷的选择。在这项研究中,三星Galaxy S3智能手机被选作车载传感器平台,用于在没有基于全球定位系统(GPS)导航选项的环境中进行无人机定位。通过使用手机内置摄像头,压力传感器和方向传感器,提出并开发了一种多传感器无人机定位方案。所提出的方法不必重建环境图。此外,室内和室外实验都是分别基于机械臂和八旋翼无人机进行的。实验结果验证了所实施方案和相应算法的有效性。有关这项工作的视频,请访问pan.baidu.com/s/10IwQM。

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