293 research outputs found
Self-healing radio maps of wireless networks for indoor positioning
Programa Doutoral em Telecomunicações MAP-tele das Universidades do Minho, Aveiro e PortoA Indústria 4.0 está a impulsionar a mudança para novas formas de produção e otimização em tempo real
nos espaços industriais que beneficiam das capacidades da Internet of Things (IoT) nomeadamente,
a localização de veículos para monitorização e optimização de processos. Normalmente os espaços industriais
possuem uma infraestrutura Wi-Fi que pode ser usada para localizar pessoas, bens ou veículos,
sendo uma oportunidade para aumentar a produtividade. Os mapas de rádio são importantes para os
sistemas de posicionamento baseados em Wi-Fi, porque representam o ambiente de rádio e são usados
para estimar uma posição. Os mapas de rádio são constituídos por amostras Wi-Fi recolhidas em posições
conhecidas e degradam-se ao longo do tempo devido a vários fatores, por exemplo, efeitos de propagação,
adição/remoção de APs, entre outros. O processo de construção do mapa de rádio costuma ser exigente
em termos de tempo e recursos humanos, constituindo um desafio considerável. Os veículos, que operam
em ambientes industriais podem ser explorados para auxiliar na construção de mapas de rádio, desde que
seja possível localizá-los e rastreá-los. O objetivo principal desta tese é desenvolver um sistema de posicionamento
para veículos industriais com mapas de rádio auto-regenerativos (capaz de manter os mapas
de rádio atualizados). Os veículos são localizados através da fusão sensorial de Wi-Fi com sensores de
movimento, que permitem anotar novas amostras Wi-Fi para o mapa de rádio auto-regenerativo. São propostas
duas abordagens de fusão sensorial, baseadas em Loose Coupling e Tight Coupling, para a
localização dos veículos. A abordagem Tight Coupling inclui uma métrica de confiança para determinar
quando é que as amostras de Wi-Fi devem ser anotadas. Deste modo, esta solução não requer calibração
nem esforço humano para a construção e manutenção do mapa de rádio. Os resultados obtidos em experiências
sugerem que esta solução tem potencial para a IoT e a Indústria 4.0, especialmente em serviços
de localização, mas também na monitorização, suporte à navegação autónoma, e interconectividade.Industry 4.0 is driving change for new forms of production and real-time optimization in factories, which
benefit from the Industrial Internet of Things (IoT) capabilities to locate industrial vehicles for monitoring,
improving safety, and operations. Most industrial environments have a Wi-Fi infrastructure that can be
exploited to locate people, assets, or vehicles, providing an opportunity for enhancing productivity and
interconnectivity. Radio maps are important for Wi-Fi-based Indoor Position Systems (IPSs) since they
represent the radio environment and are used to estimate a position. Radio maps comprise a set of Wi-
Fi samples collected at known positions, and degrade over time due to several aspects, e.g., propagation
effects, addition/removal of Access Points (APs), among others, hence they should be periodically updated
to maintain the IPS performance. The process to build and maintain radio maps is usually time-consuming
and demanding in terms of human resources, thus being challenging to perform. Vehicles, commonly
present in industrial environments, can be explored to help build and maintain radio maps, as long as it
is possible to locate and track them. The main objective of this thesis is to develop an IPS for industrial
vehicles with self-healing radio maps (capable of keeping radio maps up to date). Vehicles are tracked
using sensor fusion of Wi-Fi with motion sensors, which allows to annotate new Wi-Fi samples to build the
self-healing radio maps. Two sensor fusion approaches based on Loose Coupling and Tight Coupling are
proposed to track vehicles. The Tight Coupling approach includes a reliability metric to determine when
Wi-Fi samples should be annotated. As a result, this solution does not depend on any calibration or human
effort to build and maintain the radio map. Results obtained in real-world experiments suggest that this
solution has potential for IoT and Industry 4.0, especially in location services, but also in monitoring and
analytics, supporting autonomous navigation, and interconnectivity between devices.MAP-Tele Doctoral Programme scientific committee and the FCT (Fundação para a Ciência e Tecnologia) for the PhD grant (PD/BD/137401/2018
A bluetooth low energy indoor positioning system with channel diversity, weighted trilateration and Kalman filtering
Indoor Positioning Systems (IPS) using Bluetooth Low Energy (BLE) technology are currently becoming real and available, which has made them grow in popularity and use. However, there are still plenty of challenges related to this technology, especially in terms of Received Signal Strength Indicator (RSSI) fluctuations due to the behaviour of the channels and the multipath effect, that lead to poor precision. In order to mitigate these effects, in this paper we propose and implement a real Indoor Positioning System based on Bluetooth Low Energy, that improves accuracy while reducing power consumption and costs. The three main proposals are: frequency diversity, Kalman filtering and a trilateration method what we have denominated “weighted trilateration”. The analysis of the results proves that all the proposals improve the precision of the system, which goes up to 1.82 m 90% of the time for a device moving in a middle-size room and 0.7 m for static devices. Furthermore, we have proved that the system is scalable and efficient in terms of cost and power consumption. The implemented approach allows using a very simple device (like a SensorTag) on the items to locate. The system enables a very low density of anchor points or references and with a precision better than existing solutionsPeer ReviewedPostprint (published version
Autonomous wheelchair with a smart driving mode and a Wi-Fi positioning system
Wheelchairs are an important aid that enhances the mobility of people with
several types of disabilities. Therefore, there has been considerable research and
development on wheelchairs to meet the needs of the disabled. Since the early manual
wheelchairs to their more recent electric powered counterparts, advancements have
focused on improving autonomy in mobility. Other developments, such as Internet
advancements, have developed the concept of the Internet of Things (IoT). This is a
promising area that has been studied to enhance the independent operation of the
electrical wheelchairs by enabling autonomous navigation and obstacle avoidance.
This dissertation describes shortly the design of an autonomous wheelchair of the
IPL/IT (Instituto Politécnico de Leiria/Instituto de Telecomunicações) with smart
driving features for persons with visual impairments. The objective is to improve the
prototype of an intelligent wheelchair. The first prototype of the wheelchair was built
to control it by voice, ocular movements, and GPS (Global Positioning System).
Furthermore, the IPL/IT wheelchair acquired a remote control feature which could
prove useful for persons with low levels of visual impairment. This tele-assistance
mode will be helpful to the family of the wheelchair user or, simply, to a health care
assistant. Indoor and outdoor positioning systems, with printed directional Wi-Fi
antennas, have been deployed to enable a precise location of our wheelchair. The
underlying framework for the wheelchair system is the IPL/IT low cost autonomous
wheelchair prototype that is based on IoT technology for improved affordability
JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems
This book is about JIDOKA, a Japanese management technique coined by Toyota that consists of imbuing machines with human intelligence. The purpose of this compilation of research articles is to show industrial leaders innovative cases of digitization of value creation processes that have allowed them to improve their performance in a sustainable way. This book shows several applications of JIDOKA in the quest towards an integration of human and AI within Industry 4.0 Cyber Physical Manufacturing Systems. From the use of artificial intelligence to advanced mathematical models or quantum computing, all paths are valid to advance in the process of human–machine integration
Smart luminaire positioning and lighting control in collaborative spaces
Abstract. Smart lighting systems have become more common as they provide energy savings with various occupancy detection methods and better lighting control opportunities for users. This thesis explores two aspects of these smart lighting systems, configuration and control, by utilizing an ActiveAhead controlled smart luminaire installation at the University of Oulu.
Smart luminaire identification is a common configuration task that needs to performed before being able to control the individual luminaires and can be especially tedious with large installations. However, this task can be partly automated by positioning the smart luminaires based on passive infrared (PIR) sensors or the received signal strength indicators (RSSI) the luminaires broadcast with Bluetooth Low Energy (BLE) advertisements. For PIR sensor-based positioning, a centroid-based method is presented and evaluated with two datasets reflecting a typical and optimal scenarios of triggering the sensors. For RSSI-based positioning, a log-distance path loss distance estimation with mean squared error (MSE) based position optimization is presented and evaluated. Moreover, relevant literature concerning the RSSI-based device positioning is discussed.
Second, the design, implementation and evaluation of a lighting control prototype for collaborative spaces are presented. The prototype uses near-field communication (NFC) tags to indicate the user position and to initiate a lighting preference input to an Android application. The user preferences are transmitted to a local server responsible for the control logic and communication with the luminaires. The potential conflicts between users are resolved with distance weighted preference averaging, which makes the prototype especially convenient for cases where the users share the surrounding luminaires with others. Furthermore, related smart lighting control systems are compared.Älyvalaisinten paikantaminen ja valaistuksen säätö yhteistyötiloissa. Tiivistelmä. Älykkäät valaistusjärjestelmät ovat yleistyneet mahdollistaen energiansäästöt useilla läsnäolon tunnistusratkaisuilla ja paremmat valaistuksen säätömahdollisuudet käyttäjille. Tämä työ käsittelee älyvalaistusjärjestelmiä kahdesta näkökulmasta hyödyntäen ActiveAhead älyvalaisinasennusta Oulun yliopistossa.
Älyvalaisinten paikan tunnistaminen on yleinen konfigurointivaihe ennen kuin yksittäisiä valaisimia on mahdollista säätää ja se voi osoittautua erityisen työlääksi suurissa asennuksissa. Tämä vaihe on kuitenkin mahdollista automatisoida paikantamalla älyvalot hyödyntäen PIR-liiketunnistimia tai vastaanotetun signaalin voimakkuutta (RSSI), joita valaisimet lähettävät matalanenergian (BLE) Bluetoothin mainosviesteillä. PIR-liiketunnistimiin pohjautuvaan paikantamiseen esitellään painopisteeseen perustuva metodi, joka myös evaluoidaan kahdella datasetillä, jotka kuvaavat yleistä ja optimaalista PIR-liiketunnistimien laukaisua. RSSI pohjaiseen paikantamiseen esitellään ja arvioidaan metodi, joka hyödyntää logaritmisen signaalin vaimenemisen etäisyys-mallia ja keskimääräiseen neliövirheeseen perustuvaa paikan optimointia. Lisäksi esitellään käytettyjä menetelmiä RSSI-pohjaiseen paikantamiseen.
Toiseksi esitellään yhteisöllisiin työtiloihin tarkoitetun valaistuksensäätöprotyypin suunnittelu, toteutus ja evaluointi. Prototyyppi hyödyntää NFC (near field communication) tarroja käyttäjän sijainnin ilmaisuun ja valaistuspreferenssien syöttämisen osoittamiseen Android sovellukselle. Käyttäjäpreferenssit välitetään paikalliselle palvelimelle, joka vastaa ohjauslogiikasta ja viestinnästä valaisimien kanssa. Mahdolliset konfliktit käyttäjien välillä ratkaistaan etäisyydellä painotetulla keskiarvolla, mikä tekee prototyypistä kätevän erityisesti tilanteisiin missä käyttäjät jakavat ympäröivät valaisimet toistensa kanssa. Lisäksi vertaillaan muita älykkäitä järjestelmiä valaistuksen säätämiseen
Indoor localization utilizing existing infrastructure in smart homes : a thesis by publications presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer and Electronics Engineering, Massey University, Albany, New Zealand
Listed in 2019 Dean's List of Exceptional ThesesIndoor positioning system (IPS) have received significant interest from the research
community over the past decade. However, this has not eventuated into widespread adoption
of IPS and few commercial solutions exist. Integration into Smart Homes could allow for
secondary services including location-based services, targeted user experiences and intrusion
detection, to be enabled using the existing underlying infrastructure. Since New Zealand has
an aging population, we must ensure that the elderly are well looked after. An IPS solution
could detect whether a person has been immobile for an extended period and alert medical
personnel. A major shortcoming of existing IPS is their reliance on end-users to undertake a
significant infrastructure investment to facilitate the localization tasks. An IPS that does
not require extensive installation and calibration procedures, could potentially see
significant uptake from end users. In order to expedite the widespread adoption of IPS
technology, this thesis focuses on four major areas of improvement, namely: infrastructure
reuse, reduced node density, algorithm improvement and reduced end user calibration
requirements. The work presented demonstrates the feasibility of utilizing existing wireless
and lighting infrastructure for positioning and implements novel spring-relaxation and
potential fields-based localization approaches that allow for robust target tracking, with
minimal calibration requirements. The developed novel localization algorithms are
benchmarked against the existing state of the art and show superior performance
Applications across Co-located Devices
We live surrounded by many computing devices. However, their presence has yet to
be fully explored to create a richer ubiquitous computing environment. There is an
opportunity to take better advantage of those devices by combining them into a unified
user experience. To realize this vision, we studied and explored the use of a framework,
which provides the tools and abstractions needed to develop applications that distribute
UI components across co-located devices.
The framework comprises the following components: authentication and authorization
services; a broker to sync information across multiple application instances; background
services that gather the capabilities of the devices; and a library to integrate
web applications with the broker, determine which components to show based on UI
requirements and device capabilities, and that provides custom elements to manage the
distribution of the UI components and the multiple application states. Collaboration
between users is supported by sharing application states. An indoor positioning solution
had to be developed in order to determine when devices are close to each other to trigger
the automatic redistribution of UI components.
The research questions that we set out to respond are presented along with the contributions
that have been produced. Those contributions include a framework for crossdevice
applications, an indoor positioning solution for pervasive indoor environments,
prototypes, end-user studies and developer focused evaluation. To contextualize our
research, we studied previous research work about cross-device applications, proxemic
interactions and indoor positioning systems.
We presented four application prototypes. The first three were used to perform studies
to evaluate the user experience. The last one was used to study the developer experience
provided by the framework. The results were largely positive with users showing preference
towards using multiple devices under some circumstances. Developers were also
able to grasp the concepts provided by the framework relatively well.Vivemos rodeados de dispositivos computacionais. No entanto, ainda não tiramos partido
da sua presença para criar ambientes de computação ubíqua mais ricos. Existe uma
oportunidade de combiná-los para criar uma experiência de utilizador unificada. Para
realizar esta visão, estudámos e explorámos a utilização de uma framework que forneça
ferramentas e abstrações que permitam o desenvolvimento de aplicações que distribuem
os componentes da interface do utilizador por dispositivos co-localizados.
A framework é composta por: serviços de autenticação e autorização; broker que sincroniza
informação entre várias instâncias da aplicação; serviços que reúnem as capacidades
dos dispositivos; e uma biblioteca para integrar aplicações web com o broker, determinar
as componentes a mostrar com base nos requisitos da interface e nas capacidades dos
dispositivos, e que disponibiliza elementos para gerir a distribuição dos componentes da
interface e dos estados de aplicação. A colaboração entre utilizadores é suportada através
da partilha dos estados de aplicação. Foi necessário desenvolver um sistema de posicionamento
em interiores para determinar quando é que os dispositivos estão perto uns dos
outros para despoletar a redistribuição automática dos componentes da interface.
As questões de investigação inicialmente colocadas são apresentadas juntamente com
as contribuições que foram produzidas. Essas contribuições incluem uma framework para
aplicações multi-dispositivo, uma solução de posicionamento em interiores para computação
ubíqua, protótipos, estudos com utilizadores finais e avaliação com programadores.
Para contextualizar a nossa investigação, estudámos trabalhos anteriores sobre aplicações
multi-dispositivo, interação proxémica e sistemas de posicionamento em interiores.
Apresentámos quatro aplicações protótipo. As primeiras três foram utilizadas para
avaliar a experiência de utilização. A última foi utilizada para estudar a experiência
de desenvolvimento com a framework. Os resultados foram geralmente positivos, com
os utilizadores a preferirem utilizar múltiplos dispositivos em certas circunstâncias. Os
programadores também foram capazes de compreender a framework relativamente bem
Indoor Positioning and Navigation
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 real-time processing and low energy consumption on a smartphone or robot
Visible Light and Camera-based Receiver Employing Machine Learning for Indoor Positioning Systems and Data Communications
Indoor location-based services have played a crucial role in the development of various Internet of Things applications over the last few decades. The use of radio frequency (RF)-based systems in indoor environments suffers from additional interference due to the high penetration rate and reflections of the RF, which may severely affect positioning accuracy. Alternatively, the optical technology using the existing light-emitting diode (LED)-based lights, photodetectors (PDs), and/or image sensors could be utilised to provide indoor positioning with high accuracy. Because of its resilience to electromagnetic interference, license-free operation, large bandwidth, and dual-use for illumination and communication, visible light positioning (VLP) systems have shown great potential in achieving high-precision indoor positioning. This thesis focus is on investigating VLP systems based on employing a single PD, or an array of PDs in the form of a single image sensor (i.e. a camera) for both localization and data communication. Following a comprehensive literature review on VLP, the key challenges in existing positioning methods for achieving a low-cost, accurate, and less complex indoor positioning systems design are highlighted by considering the design characteristics of an indoor environment, position accuracy, number of light-emitting LED, PD, and any additional sensors utilized. The thesis focuses on the major constraints of VLP and provides novel contributions. In most reported VLP schemes, the assumptions of fixed transmitter (Tx) angle and height may not be valid in many physical environments. In this work, the impact of tilting Tx and multipath reflections are investigated. The findings demonstrated that tilting Tx can be beneficial in VLP by leveraging the influence of reflections from both near- and far-walls. It also showed that proposed system offers a significant accuracy improvement by up to ~66% compared with a typical non-tilted Tx VLP system.Furthermore, increasing robustness of image sensor-based receiver (Rx) is a major challenge, which is being addressed using a novel angle of arrival-received signal intensity and a single LED. Experimental results show that the proposed algorithm can achieve a three-dimensional root mean squared error of 7.56 cm. Visible light communications employing a camera-based Rx is best known as optical camera communications (OCC), which can also be used for VLP. However, in OCC the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera's sampling introduces intersymbol interference Indoor location-based services have played a crucial role in the development of various Internet of Things applications over the last few decades. The use of radio frequency (RF)-based systems in indoor environments suffers from additional interference due to the high penetration rate and reflections of the RF, which may severely affect positioning accuracy. Alternatively, the optical technology using the existing light-emitting diode (LED)-based lights, photodetectors (PDs), and/or image sensors could be utilised to provide indoor positioning with high accuracy. Because of its resilience to electromagnetic interference, license-free operation, large bandwidth, and dual-use for illumination and communication, visible light positioning (VLP) systems have shown great potential in achieving high-precision indoor positioning. This thesis focus is on investigating VLP systems based on employing a single PD, or an array of PDs in the form of a single image sensor (i.e. a camera) for both localization and data communication. Following a comprehensive literature review on VLP, the key challenges in existing positioning methods for achieving a low-cost, accurate, and less complex indoor positioning systems design are highlighted by considering the design characteristics of an indoor environment, position accuracy, number of light-emitting LED, PD, and any additional sensors utilized. The thesis focuses on the major constraints of VLP and provides novel contributions. In most reported VLP schemes, the assumptions of fixed transmitter (Tx) angle and height may not be valid in many physical environments. In this work, the impact of tilting Tx and multipath reflections are investigated. The findings demonstrated that tilting Tx can be beneficial in VLP by leveraging the influence of reflections from both near- and far-walls. It also showed that proposed system offers a significant accuracy improvement by up to ~66% compared with a typical non-tilted Tx VLP system.Furthermore, increasing robustness of image sensor-based receiver (Rx) is a major challenge, which is being addressed using a novel angle of arrival-received signal intensity and a single LED. Experimental results show that the proposed algorithm can achieve a three-dimensional root mean squared error of 7.56 cm. Visible light communications employing a camera-based Rx is best known as optical camera communications (OCC), which can also be used for VLP. However, in OCC the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera's sampling introduces intersymbol interference
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