Wireless Indoor Localization

Wireless Indoor Localization
Author: Chenshu Wu
Publisher: Springer
Total Pages: 220
Release: 2018-08-22
Genre: Computers
ISBN: 9811303568
GET BOOK

Download Wireless Indoor Localization Book in PDF, Epub and Kindle

This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas.

Indoor Positioning and Navigation

Indoor Positioning and Navigation
Author: Simon Tomazič
Publisher: Mdpi AG
Total Pages: 396
Release: 2021-11-12
Genre: Technology & Engineering
ISBN: 9783036519135
GET BOOK

Download Indoor Positioning and Navigation Book in PDF, Epub and Kindle

In recent years, rapid development in robotics, mobile, and communication technologies has encouraged many studies in the field of localization and navigation in indoor environments. An accurate localization system that can operate in an indoor environment has considerable practical value, because it can be built into autonomous mobile systems or a personal navigation system on a smartphone for guiding people through airports, shopping malls, museums and other public institutions, etc. Such a system would be particularly useful for blind people. Modern smartphones are equipped with numerous sensors (such as inertial sensors, cameras, and barometers) and communication modules (such as WiFi, Bluetooth, NFC, LTE/5G, and UWB capabilities), which enable the implementation of various localization algorithms, namely, visual localization, inertial navigation system, and radio localization. For the mapping of indoor environments and localization of autonomous mobile sysems, LIDAR sensors are also frequently used in addition to smartphone sensors. Visual localization and inertial navigation systems are sensitive to external disturbances; therefore, sensor fusion approaches can be used for the implementation of robust localization algorithms. These have to be optimized in order to be computationally efficient, which is essential for realtime processing and low energy consumption on a smartphone or robot.

Introduction to Wireless Localization

Introduction to Wireless Localization
Author: Eddie C. L. Chan
Publisher: John Wiley & Sons
Total Pages: 314
Release: 2012-05-11
Genre: Technology & Engineering
ISBN: 1118298543
GET BOOK

Download Introduction to Wireless Localization Book in PDF, Epub and Kindle

This book provides a comprehensive overview of the entire landscape of both outdoor and indoor wireless positioning, and guides the reader step by step in the implementation of wireless positioning applications on the iPhone. Explanations of fundamental positioning techniques are given throughout the text, along with many programming examples, providing the reader with an independent, practical, and enjoyable learning of the material while gaining a real feel for the subject. Provides an accessible introduction to positioning technologies such as Global Positioning System and Wi-Fi positioning Presents hands-on skills to iOS 5.0 programming for location-aware applications Gives a thorough grounding in signal propagation, line-of-sight and interference effects for accurate positioning Covers the location-aware video streaming and conferencing with practical iPhone application examples Accompanied by a website containing programming code described in the text and lecture presentation slides for instructors This book is primarily intended for anyone who wants to study wireless localization. It is an ideal textbook for graduate students who are first learning localization techniques, as well as advanced undergraduates in computer science interested in translating localization concepts into real code. Professionals, engineers and researchers working in location-aware services and related techniques using mobile positioning and AI technologies will find this book to be a helpful reference. Companion website for the book: www.wiley.com/go/chan/wireless

Indoor Positioning

Indoor Positioning
Author: Nel Samama
Publisher: John Wiley & Sons
Total Pages: 373
Release: 2019-07-11
Genre: Technology & Engineering
ISBN: 1119421845
GET BOOK

Download Indoor Positioning Book in PDF, Epub and Kindle

Provides technical and scientific descriptions of potential approaches used to achieve indoor positioning, ranging from sensor networks to more advanced radio-based systems This book presents a large technical overview of various approaches to achieve indoor positioning. These approaches cover those based on sensors, cameras, satellites, and other radio-based methods. The book also discusses the simplification of certain implementations, describing ways for the reader to design solutions that respect specifications and follow established techniques. Descriptions of the main techniques used for positioning, including angle measurement, distance measurements, Doppler measurements, and inertial measurements are also given. Indoor Positioning: Technologies and Performance starts with overviews of the first age of navigation, the link between time and space, the radio age, the first terrestrial positioning systems, and the era of artificial satellites. It then introduces readers to the subject of indoor positioning, as well as positioning techniques and their associated difficulties. Proximity technologies like bar codes, image recognition, Near Field Communication (NFC), and QR codes are covered—as are room restricted and building range technologies. The book examines wide area indoor positioning as well as world wide indoor technologies like High-Sensitivity and Assisted GNSS, and covers maps and mapping. It closes with the author's vision of the future in which the practice of indoor positioning is perfected across all technologies. This text: Explores aspects of indoor positioning from both theoretical and practical points of view Describes advantages and drawbacks of various approaches to positioning Provides examples of design solutions that respect specifications of tested techniques Covers infra-red sensors, lasers, Lidar, RFID, UWB, Bluetooth, Image SLAM, LiFi, WiFi, indoor GNSS, and more Indoor Positioning is an ideal guide for technical engineers, industrial and application developers, and students studying wireless communications and signal processing.

2021 Innovations in Intelligent Systems and Applications Conference (ASYU)

2021 Innovations in Intelligent Systems and Applications Conference (ASYU)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2021-10-06
Genre:
ISBN: 9781665434065
GET BOOK

Download 2021 Innovations in Intelligent Systems and Applications Conference (ASYU) Book in PDF, Epub and Kindle

ASYU2021 Innovations in Intelligent Systems and Applications Conference has been organized since 2004 ASYU aims to bring together researchers from universities, research centers and industry and to discuss the progress in the field of intelligent systems in the multi disciplinary fields In particular, it will mainly focus on the related applications on intelligent systems, from the points of view of both theory and practice

Local Positioning Systems

Local Positioning Systems
Author: Krzysztof W. Kolodziej
Publisher: CRC Press
Total Pages: 488
Release: 2017-12-19
Genre: Technology & Engineering
ISBN: 1420005006
GET BOOK

Download Local Positioning Systems Book in PDF, Epub and Kindle

Local Positioning Systems: LBS Applications and Services explores the possible approaches and technologies to location problems including people and asset tracking, mobile resource management, public safety, and handset location-based services. The book examines several indoor positioning systems, providing detailed case studies of existing applications and their requirements, and shows how to set them up. Other chapters are dedicated to position computation algorithms using different signal metrics and determination methods, 2D/3D indoor map data and location models, indoor navigation, system components and how they work, privacy, deployment issues, and standards. In detail, the book explains the steps for deploying a location-enabled network, including doing a site-survey, creating a positioning model and floor maps, and access point placement and configuration. Also presented is a classification for network-based and ad-hoc positioning systems, and a framework for developing indoor LBS services. This comprehensive guide will be invaluable to students and lecturers in the area of wireless computing. It will also be an enabling resource to developers and researchers seeking to expand their knowledge in this field.

Machine Learning Algorithm for Wireless Indoor Localization

Machine Learning Algorithm for Wireless Indoor Localization
Author: Osamah Ali Abdullah
Publisher:
Total Pages:
Release: 2018
Genre: Computers
ISBN:
GET BOOK

Download Machine Learning Algorithm for Wireless Indoor Localization Book in PDF, Epub and Kindle

Smartphones equipped with Wi-Fi technology are widely used nowadays. Due to the need for inexpensive indoor positioning systems (IPSs), many researchers have focused on Wi-Fi-based IPSs, which use wireless local area network received signal strength (RSS) data that are collected at distinct locations in indoor environments called reference points. In this study, a new framework based on symmetric Bregman divergence, which incorporates k-nearest neighbor (kNN) classification in signal space, was proposed. The coordinates of the target were determined as a weighted combination of the nearest fingerprints using Jensen-Bregman divergences, which unify the squared Euclidean and Mahalanobis distances with information-theoretic Jensen-Shannon divergence measures. To validate our work, the performance of the proposed algorithm was compared with the probabilistic neural network and multivariate Kullback-Leibler divergence. The distance error for the developed algorithm was less than 1 m.

Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking
Author: Mao, Guoqiang
Publisher: IGI Global
Total Pages: 526
Release: 2009-05-31
Genre: Computers
ISBN: 1605663972
GET BOOK

Download Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking Book in PDF, Epub and Kindle

Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.

Recent Advances in Indoor Localization Systems and Technologies

Recent Advances in Indoor Localization Systems and Technologies
Author: Gyula Simon
Publisher: MDPI
Total Pages: 502
Release: 2021-08-30
Genre: Technology & Engineering
ISBN: 303651483X
GET BOOK

Download Recent Advances in Indoor Localization Systems and Technologies Book in PDF, Epub and Kindle

Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.

Machine Learning for Indoor Localization and Navigation

Machine Learning for Indoor Localization and Navigation
Author: Saideep Tiku
Publisher: Springer Nature
Total Pages: 563
Release: 2023-06-29
Genre: Technology & Engineering
ISBN: 3031267125
GET BOOK

Download Machine Learning for Indoor Localization and Navigation Book in PDF, Epub and Kindle

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve the accuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book: Provides comprehensive coverage of the application of machine learning to the domain of indoor localization; Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization; Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.