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Introduction to Global Positioning System

Introduction to Global Positioning System

The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...

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Updated: Jul 4, 2025

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

使用智能手机的实时三维行人定位系统.

Beomju Shin¹, Taehun Kim², Taikjin Lee^2,3

¹College of Information Science, Hallym University, 1 Hallymdaehak-gil, Chunchein 24252, Gangwon-do, Republic of Korea.

Sensors (Basel, Switzerland)

|January 26, 2024

概括

此摘要是机器生成的。

本研究介绍了一个基于云的室内定位系统,使用智能手机进行准确的3D定位. 该模块化系统的平均精度不到2米,减少了导航和救援等应用的基础设施需求.

关键词:

云平台云平台是一个云平台.使用指纹进行指纹采集.室内局部化室内局部化一个行人死亡,计算.智能手机的智能手机智能手机的智能手机.

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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

相关实验视频

Last Updated: Jul 4, 2025

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

科学领域:

计算机科学计算机科学
电气工程电气工程
地理学工程工程地质学

背景情况:

准确的室内定位对于个人导航,紧急救援和工人监控等应用至关重要.
现有的本地化技术往往需要大量的基础设施,并且在错误限制方面存在局限性.
减少对基础设施的依赖和提高准确性的需求推动了对新型室内定位系统的研究.

研究的目的:

开发和验证基于云平台的室内定位系统,使用智能手机.
为了在有限的基础设施下实现强大而准确的三维 (3D) 定位.
为了提高各种以用户为中心的应用程序的室内位置估计的精度.

主要方法:

一个模块化,分层的定位系统,包括四个模块:轨道水平检测,细分水平检测 (FLD),细分位置跟踪 (FLT) 和水平变化检测 (LCD).
顺序估计地板,然后使用接收信号强度指示器 (RSSI) 矢量和无线电地图精确的二维位置.
一种三阶段位置估计方法,根据用户状态和位置估计需求调整模块.

主要成果:

拟议的系统在六层建筑中展示了有效的室内定位能力.
在实验试验中,平均定位精度低于2米.
模块化设计允许根据用户环境进行适应性和精确的位置估计.

结论:

开发的基于云的本地化系统为准确和基础设施明亮的室内定位提供了有前途的解决方案.
层次和模块化方法有效地解决了室内定位精度和错误限制的挑战.
这项技术在增强个人导航,应急响应和工人监控系统方面具有重大潜力.