• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

室内定位系统的元分析综述

A Meta-Review of Indoor Positioning Systems.

机构信息

Institute of New Imaging Technologies, Universitat Jaume I, Avda. Vicente Sos Baynat S/N, 12071 Castellón, Spain.

出版信息

Sensors (Basel). 2019 Oct 17;19(20):4507. doi: 10.3390/s19204507.

DOI:10.3390/s19204507
PMID:31627331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6832486/
Abstract

An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years. The number of technologies, techniques, and approaches in general used in IPS proposals is remarkable. Such diversity, coupled with the lack of strict and verifiable evaluations, leads to difficulties for appreciating the true value of most proposals. This paper provides a meta-review that performed a comprehensive compilation of 62 survey papers in the area of indoor positioning. The paper provides the reader with an introduction to IPS and the different technologies, techniques, and some methods commonly employed. The introduction is supported by consensus found in the selected surveys and referenced using them. Thus, the meta-review allows the reader to inspect the IPS current state at a glance and serve as a guide for the reader to easily find further details on each technology used in IPS. The analyses of the meta-review contributed with insights on the abundance and academic significance of published IPS proposals using the criterion of the number of citations. Moreover, 75 works are identified as relevant works in the research topic from a selection of about 4000 works cited in the analyzed surveys.

摘要

多年来,人们一直在寻找适用于大多数室内场景的准确可靠的室内定位系统(IPS)。一般来说,IPS 提案中使用的技术、技巧和方法的数量是相当可观的。这种多样性,再加上缺乏严格和可验证的评估,使得大多数提案的真正价值难以被欣赏。本文提供了一个元综述,对室内定位领域的 62 篇调查论文进行了全面汇编。本文为读者提供了 IPS 以及常用的不同技术、技巧和一些方法的介绍。该介绍得到了所选调查中的共识的支持,并引用了这些共识。因此,元综述允许读者一目了然地检查 IPS 的当前状态,并作为读者的指南,方便地找到 IPS 中使用的每种技术的详细信息。使用引文数量的标准,对元综述的分析有助于洞察已发表 IPS 提案的丰富性和学术意义。此外,从分析的调查中引用的大约 4000 篇作品中,确定了 75 篇作为研究主题的相关作品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/e578a2ce97ce/sensors-19-04507-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/acb29f8cf49d/sensors-19-04507-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/118c93c8b9f2/sensors-19-04507-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/9776f1482247/sensors-19-04507-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/14757d2d0b00/sensors-19-04507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/589dfed4f8e9/sensors-19-04507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/fc0952bce51f/sensors-19-04507-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/e578a2ce97ce/sensors-19-04507-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/acb29f8cf49d/sensors-19-04507-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/118c93c8b9f2/sensors-19-04507-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/9776f1482247/sensors-19-04507-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/14757d2d0b00/sensors-19-04507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/589dfed4f8e9/sensors-19-04507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/fc0952bce51f/sensors-19-04507-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a92/6832486/e578a2ce97ce/sensors-19-04507-g007.jpg

相似文献

1
A Meta-Review of Indoor Positioning Systems.室内定位系统的元分析综述
Sensors (Basel). 2019 Oct 17;19(20):4507. doi: 10.3390/s19204507.
2
A Survey of Smartphone-Based Indoor Positioning System Using RF-Based Wireless Technologies.基于射频无线技术的智能手机室内定位系统综述
Sensors (Basel). 2020 Dec 17;20(24):7230. doi: 10.3390/s20247230.
3
A Review of Technologies and Techniques for Indoor Navigation Systems for the Visually Impaired.为视障人士设计的室内导航系统技术和方法综述
Sensors (Basel). 2020 Jul 15;20(14):3935. doi: 10.3390/s20143935.
4
Collaborative Indoor Positioning Systems: A Systematic Review.协同室内定位系统:系统评价。
Sensors (Basel). 2021 Feb 2;21(3):1002. doi: 10.3390/s21031002.
5
A Review of Pedestrian Indoor Positioning Systems for Mass Market Applications.面向大众市场应用的行人室内定位系统综述
Sensors (Basel). 2017 Aug 22;17(8):1927. doi: 10.3390/s17081927.
6
A Survey of 3D Indoor Localization Systems and Technologies.三维室内定位系统与技术综述
Sensors (Basel). 2022 Dec 1;22(23):9380. doi: 10.3390/s22239380.
7
A Low-Cost Visible Light Positioning System for Indoor Positioning.一种用于室内定位的低成本可见光定位系统。
Sensors (Basel). 2020 Sep 9;20(18):5145. doi: 10.3390/s20185145.
8
Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities.设计和开发一款用于医疗设施室内实时定位和导航的移动应用程序。
Technol Health Care. 2022;30(6):1371-1395. doi: 10.3233/THC-220146.
9
Sensors and Sensing Technologies for Indoor Positioning and Indoor Navigation.室内定位和室内导航用传感器和传感技术。
Sensors (Basel). 2020 Oct 20;20(20):5924. doi: 10.3390/s20205924.
10
Combination of Smartphone MEMS Sensors and Environmental Prior Information for Pedestrian Indoor Positioning.用于行人室内定位的智能手机MEMS传感器与环境先验信息的结合
Sensors (Basel). 2020 Apr 16;20(8):2263. doi: 10.3390/s20082263.

引用本文的文献

1
Generalizing location-centric variations to enhance contactless human activity recognition.推广以位置为中心的变化以增强非接触式人类活动识别。
Front Comput Neurosci. 2025 Jun 19;19:1612928. doi: 10.3389/fncom.2025.1612928. eCollection 2025.
2
An Improved Adaptive Monte Carlo Localization Algorithm Integrated with a Virtual Motion Model.一种集成虚拟运动模型的改进自适应蒙特卡洛定位算法
Sensors (Basel). 2025 Apr 14;25(8):2471. doi: 10.3390/s25082471.
3
Multimodal Image-Based Indoor Localization with Machine Learning-A Systematic Review.

本文引用的文献

1
A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information.一种基于具有独立信道信息的低功耗蓝牙的稳健室内定位方法。
Sensors (Basel). 2019 Aug 9;19(16):3487. doi: 10.3390/s19163487.
2
IPSCL: An Accurate Indoor Positioning Algorithm Using Sensors and Crowdsourced Landmarks.IPSCL:一种使用传感器和众包地标进行精确室内定位的算法。
Sensors (Basel). 2019 Jun 29;19(13):2891. doi: 10.3390/s19132891.
3
Acoustic Indoor Localization System Integrating TDMA+FDMA Transmission Scheme and Positioning Correction Technique.
基于多模态图像的机器学习室内定位——系统综述
Sensors (Basel). 2024 Sep 19;24(18):6051. doi: 10.3390/s24186051.
4
Vision-Based UAV Detection and Localization to Indoor Positioning System.基于视觉的无人机检测与定位应用于室内定位系统
Sensors (Basel). 2024 Jun 25;24(13):4121. doi: 10.3390/s24134121.
5
Adaptive Network Model for Assisting People with Disabilities through Crowd Monitoring and Control.通过人群监测与控制辅助残疾人的自适应网络模型
Bioengineering (Basel). 2024 Mar 16;11(3):283. doi: 10.3390/bioengineering11030283.
6
Fast Deployment of a UWB-Based IPS for Emergency Response Operations.基于超宽带的 IPS 的快速部署用于应急响应行动。
Sensors (Basel). 2023 Apr 22;23(9):4193. doi: 10.3390/s23094193.
7
Development and Evaluation of BLE-Based Room-Level Localization to Improve Hand Hygiene Performance Estimation.基于 BLE 的房间级定位的开发和评估,以提高手部卫生性能估计。
J Healthc Eng. 2023 Jan 31;2023:4258362. doi: 10.1155/2023/4258362. eCollection 2023.
8
Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities.设计和开发一款用于医疗设施室内实时定位和导航的移动应用程序。
Technol Health Care. 2022;30(6):1371-1395. doi: 10.3233/THC-220146.
9
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios.在智能家居场景中实现同时进行室内定位、建图和人体活动识别的框架。
Sensors (Basel). 2022 Apr 28;22(9):3364. doi: 10.3390/s22093364.
10
Meaningful Test and Evaluation of Indoor Localization Systems in Semi-Controlled Environments.半受控环境下室内定位系统的有意义测试和评估。
Sensors (Basel). 2022 Apr 6;22(7):2797. doi: 10.3390/s22072797.
集成时分多址(TDMA)+频分多址(FDMA)传输方案与定位校正技术的室内声学定位系统
Sensors (Basel). 2019 May 22;19(10):2353. doi: 10.3390/s19102353.
4
Experimental Evaluation of UWB Indoor Positioning for Indoor Track Cycling.超宽带室内定位在室内场地自行车运动中的实验评估。
Sensors (Basel). 2019 May 1;19(9):2041. doi: 10.3390/s19092041.
5
Indoor three-dimensional high-precision positioning system with bat algorithm based on visible light communication.
Appl Opt. 2019 Mar 20;58(9):2226-2234. doi: 10.1364/AO.58.002226.
6
Hybrid indoor localization scheme with image sensor-based visible light positioning and pedestrian dead reckoning.基于图像传感器的可见光定位与行人航位推算的混合室内定位方案
Appl Opt. 2019 Apr 20;58(12):3214-3221. doi: 10.1364/AO.58.003214.
7
Mobile Robot Indoor Positioning Based on a Combination of Visual and Inertial Sensors.基于视觉与惯性传感器组合的移动机器人室内定位
Sensors (Basel). 2019 Apr 13;19(8):1773. doi: 10.3390/s19081773.
8
Intelligent Positioning for a Commercial Mobile Platform in Seamless Indoor/Outdoor Scenes based on Multi-sensor Fusion.基于多传感器融合的商业移动平台无缝室内/外场景智能定位。
Sensors (Basel). 2019 Apr 9;19(7):1696. doi: 10.3390/s19071696.
9
Wi-Fi-Based Effortless Indoor Positioning System Using IoT Sensors.基于 Wi-Fi 的物联网传感器无感室内定位系统。
Sensors (Basel). 2019 Mar 27;19(7):1496. doi: 10.3390/s19071496.
10
A High-Precision, Real-Time, and Robust Indoor Visible Light Positioning Method Based on Mean Shift Algorithm and Unscented Kalman Filter.基于均值漂移算法和无迹卡尔曼滤波的高精度、实时、鲁棒的室内可见光定位方法。
Sensors (Basel). 2019 Mar 4;19(5):1094. doi: 10.3390/s19051094.