首页> 外文期刊>Wireless communications & mobile computing >An Implementation Approach and Performance Analysis of Image Sensor Based Multilateral Indoor Localization and Navigation System
【24h】

An Implementation Approach and Performance Analysis of Image Sensor Based Multilateral Indoor Localization and Navigation System

机译:基于图像传感器的多边室内定位导航系统的实现方法与性能分析

获取原文
           

摘要

Optical camera communication (OCC) exhibits considerable importance nowadays in various indoor camera based services such as smart home and robot-based automation. An android smart phone camera that is mounted on a mobile robot (MR) offers a uniform communication distance when the camera remains at the same level that can reduce the communication error rate. Indoor mobile robot navigation (MRN) is considered to be a promising OCC application in which the white light emitting diodes (LEDs) and an MR camera are used as transmitters and receiver, respectively. Positioning is a key issue in MRN systems in terms of accuracy, data rate, and distance. We propose an indoor navigation and positioning combined algorithm and further evaluate its performance. An android application is developed to support data acquisition from multiple simultaneous transmitter links. Experimentally, we received data from four links which are required to ensure a higher positioning accuracy.
机译:如今,光学摄像头通信(OCC)在各种基于室内摄像头的服务(例如智能家居和基于机器人的自动化)中都具有相当重要的意义。当移动机器人(MR)上安装的android智能手机摄像头保持在同一水平时,可以提供均匀的通信距离,从而可以减少通信错误率。室内移动机器人导航(MRN)被认为是一种有前途的OCC应用,其中白色发光二极管(LED)和MR摄像机分别用作发送器和接收器。就准确性,数据速率和距离而言,定位是MRN系统中的关键问题。我们提出了一种室内导航和定位组合算法,并对其性能进行了进一步的评估。开发了一个android应用程序来支持从多个同时发送器链接获取数据。在实验上,我们从四个链接接收数据,这是确保更高定位精度所必需的。

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