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Indoor Positioning Technologies
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TLDR
This work aims to provide arobust, scalable, scalable and scalable approach to Indoor Positioning that combines 3D Building Modeling, 3D Targeting, and 3D Sensors into a single system.Abstract:
.............................................................................................................................................................. 6 1 Introduction ............................................................................................................................................. 7 1.1 Motivation .......................................................................................................................................................... 7 1.2 Previous Surveys ............................................................................................................................................. 8 1.3 Overview of Technologies ........................................................................................................................... 9 1.4 Indoor Positioning Applications ............................................................................................................ 11 1.5 Structure of this Work ............................................................................................................................... 14 2 User Requirements ............................................................................................................................. 15 2.1 Requirements Parameters Overview .................................................................................................. 15 2.2 Positioning Requirements Parameters Definition ......................................................................... 17 2.3 Man Machine Interface Requirements ................................................................................................ 19 2.4 Security and Privacy Requirements ..................................................................................................... 20 2.5 Costs .................................................................................................................................................................. 20 2.6 Generic Derivation of User Requirements......................................................................................... 20 2.7 Requirements for Selected Indoor Applications ............................................................................. 21 3 Definition of Terms ............................................................................................................................. 25 3.1 Disambiguation of Terms for Positioning .......................................................................................... 25 3.2 Definition of Technical Terms ................................................................................................................ 27 3.3 The Basic Measuring Principles ............................................................................................................. 29 3.4 Positioning Methods ................................................................................................................................... 31 4 Cameras .................................................................................................................................................. 34 4.1 Reference from 3D Building Models .................................................................................................... 35 4.2 Reference from Images .............................................................................................................................. 36 4.3 Reference from Deployed Coded Targets .......................................................................................... 37 4.4 Reference from Projected Targets ........................................................................................................ 38 4.5 Systems without Reference ..................................................................................................................... 39 4.6 Reference from Other Sensors ............................................................................................................... 40 4.7 Summary on Camera Based Indoor Positioning Systems ........................................................... 40 5 Infrared ................................................................................................................................................... 42 5.1 Active Beacons .............................................................................................................................................. 42 5.2 Imaging of Natural Infrared Radiation ............................................................................................... 43 5.3 Imaging of Artificial Infrared Light ....................................................................................................... 43 5.4 Summary on Infrared Indoor Positioning Systems ....................................................................... 44read more
Citations
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Journal ArticleDOI
Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances.
Abdulrahman Alarifi,AbdulMalik Al-Salman,Mansour Alsaleh,Ahmad Alnafessah,Suheer Al-Hadhrami,Mai A. Al-Ammar,Hend S. Al-Khalifa +6 more
TL;DR: A survey of the state-of-the-art technologies in indoor positioning, followed by a detailed comparative analysis of UWB positioning technologies and an analysis of strengths, weaknesses, opportunities, and threats (SWOT) to analyze the present state of UWBs positioning technologies are provided.
Journal ArticleDOI
Evolution of Indoor Positioning Technologies: A Survey
Ramón F. Brena,Juan-Pablo García-Vázquez,Carlos E. Galván-Tejada,David Munoz-Rodriguez,Cesar Vargas-Rosales,James Fangmeyer +5 more
TL;DR: A technological perspective of indoor positioning systems, comprising a wide range of technologies and approaches is provided, and the existing approaches are classified in a structure in order to guide the review and discussion of the different approaches.
Journal ArticleDOI
Comparing Ubisense, BeSpoon, and DecaWave UWB Location Systems: Indoor Performance Analysis
TL;DR: This paper compares three commercially available ultrawideband location systems (Ubisense, BeSpoon, and DecaWave) under the same experimental conditions, in order to do a critical performance analysis of the 3-D positioning estimation performance.
Journal ArticleDOI
A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time
TL;DR: This article reviews state-of-the-art wearable technologies that can be used for elderly care and discusses a series of considerations and future trends with regard to the construction of “smart clothing” system.
Journal ArticleDOI
Indoor location based services challenges, requirements and usability of current solutions
Anahid Basiri,Elena Simona Lohan,Terry Moore,Adam C. Winstanley,Pekka Peltola,Chris Hill,Pouria Amirian,Pedro Figueiredo e Silva +7 more
TL;DR: This paper studies the requirements of LBS applications, through a survey conducted by the authors, identifies the current challenges of indoor LBS, and reviews the available solutions that address the most important challenge, that of providing seamless indoor/outdoor positioning.
References
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Proceedings ArticleDOI
RADAR: an in-building RF-based user location and tracking system
TL;DR: RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications.
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The active badge location system
TL;DR: A novel system for the location of people in an office environment is described, where members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors.
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Survey of Wireless Indoor Positioning Techniques and Systems
TL;DR: Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
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Location systems for ubiquitous computing
TL;DR: This survey and taxonomy of location systems for mobile-computing applications describes a spectrum of current products and explores the latest in the field to help developers of location-aware applications better evaluate their options when choosing a location-sensing system.
Book ChapterDOI
Activity recognition from user-annotated acceleration data
Ling Bao,Stephen S. Intille +1 more
TL;DR: This is the first work to investigate performance of recognition algorithms with multiple, wire-free accelerometers on 20 activities using datasets annotated by the subjects themselves, and suggests that multiple accelerometers aid in recognition.