首页> 外文会议>Chinese Control Conference >2D monocular visual odometry using mobile-phone sensors
【24h】

2D monocular visual odometry using mobile-phone sensors

机译:2D单眼视觉测量使用移动电话传感器

获取原文

摘要

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:智能手机配备高分辨率摄像头和各种运动传感器是轻量级,廉价,灵活的微无人驾驶飞行器(微无人机)有效载荷选择。在本研究中,选择了三星Galaxy S3智能手机作为在没有具有全球定位系统(GPS)的环境中的环境中的UV定位的车载传感器平台。通过使用手机内置摄像头,压力传感器和方向传感器提出和开发了多传感器UAV定位方案。所提出的方法不必重建环境图。此外,室内和室外实验分别基于机器人臂和八转座UAV进行。实验结果验证了实施方案和相应算法的有效性。 Pan.baidu.com/s/10iwqm提供了这项工作的视频。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号