Dissertations / Theses on the topic 'Location tracking'
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Shah, Zawar Electrical Engineering & Telecommunications Faculty of Engineering UNSW. "Location tracking architectures for wireless VoIP." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/43324.
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A research area that has recently gained great interest is the development of network architectures relating to the tracking of wireless VoIP devices. This is particularly so for architectures based on the popular Session Initiation Protocol (SIP). Previous work, however, in this area does not consider the impact of combined VoIP and tracking on the capacity and call set-up time of the architectures. Previous work also assumes that location information is always available from sources such as GPS, a scenario that rarely is found in practice. The inclusion of multiple positioning systems in tracking architectures has not been hitherto explored. It is the purpose of this thesis to design and test SIP-based architectures that address these key issues. Our first main contribution is the development of a tracking-only SIP based architecture. This architecture is designed for intermittent GPS availability, with wireless network tracking as the back-up positioning technology. Such a combined tracking system is more conducive with deployment in real-world environments. Our second main contribution is the development of SIP based tracking architectures that are specifically aimed at mobile wireless VoIP systems. A key aspect we investigate is the quantification of the capacity constraints imposed on VoIP-tracking architectures. We identify such capacity limits in terms of SIP call setup time and VoIP QoS metrics, and determine these limits through experimental measurement and theoretical analyses. Our third main contribution is the development of a novel SIP based location tracking architecture in which the VoIP application is modified. The key aspect of this architecture is the factor of two increase in capacity that it can accommodate relative to architectures utilizing standard VoIP. An important aspect of all our tracking architectures is the Tracking Server. This server supplies the location information in the event of GPS unavailability. A final contribution of this thesis is the development of novel particle-filter based tracking algorithms that specifically address the GPS intermittency issue. We show how these filters interact with other features of our SIP based architectures in a seamless fashion.
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Chen, Qing. "ULTRAWIDEBAND INDOOR LOCATION AND TRACKING SYSTEM." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3948.
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The objective of this thesis is to demonstrate an indoor intruder location and tracking system with UltraWideBand (UWB) technology and use data compression and Constant False Alarm Rate (CFAR) techniques to improve the performance of the location system. Reliable and accurate indoor positioning requires a local replacement for GPS systems since satellite signals are not available indoors. UWB systems are particularly suitable for indoor location systems due their inherent capabilities such as low-power, multi-path rejection, and wide bandwidth. In our application, we are using UWB radios as a radar system for tracking targets in indoor locations. We also use Discrete Cosine Transform (DCT) to compress the UWB scan waveforms from the receivers to the main computer to conserve bandwidth. At the main computer, we use Inverse DCT to recover the original signal. The UWB intruder detection system has the indoor tracking accuracy of four inches. There are many military and commercial applications such as tracking firefighters and locating trapped people in earthquake zones, and so on. This thesis demonstrates the capability of a UWB radar system to locate and track an intruder to an accuracy of four inches in an indoor cluttered environment.M.S.Cp.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering
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Liu, Ran. "A location-guided mobile robot control platform /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20LIUR.
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Pecel, Deniz. "Enhanced Hole Punching For Rssi Location Tracking In Hospitals." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609406/index.pdf.
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With the enhancement of the Radio signal communication systems, Wi-Fi technology become a &ldquode facto&rdquo
standard used in Campus areas such as hospitals and universities. Besides being used as a data communication method, Received Signal Strength Indicator (RSSI) is also used as a location tracking method. There are lots of studies enhancing the RSSI based location tracking. In this thesis we tried to generate a test environment as close to a real Wi-Fi network scenario as possible. Our aim is to implement a simple moving client among different wireless local area networks, which is tracked across the internet by a stationary client. We also assumed that there is a Network Address Translation (NAT) at both LAN internet edges.
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Ramamurthy, Mahesh. "INDOOR GEO-LOCATION AND TRACKING OF MOBILE AUTONOMOUS ROBOT." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3270.
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The field of robotics has always been one of fascination right from the day of Terminator. Even though we still do not have robots that can actually replicate human action and intelligence, progress is being made in the right direction. Robotic applications range from defense to civilian, in public safety and fire fighting. With the increase in urban-warfare robot tracking inside buildings and in cities form a very important application. The numerous applications range from munitions tracking to replacing soldiers for reconnaissance information. Fire fighters use robots for survey of the affected area. Tracking robots has been limited to the local area under consideration. Decision making is inhibited due to limited local knowledge and approximations have to be made. An effective decision making would involve tracking the robot in earth co-ordinates such as latitude and longitude. GPS signal provides us sufficient and reliable data for such decision making. The main drawback of using GPS is that it is unavailable indoors and also there is signal attenuation outdoors. Indoor geolocation forms the basis of tracking robots inside buildings and other places where GPS signals are unavailable. Indoor geolocation has traditionally been the field of wireless networks using techniques such as low frequency RF signals and ultra-wideband antennas. In this thesis we propose a novel method for achieving geolocation and enable tracking. Geolocation and tracking are achieved by a combination of Gyroscope and encoders together referred to as the Inertial Navigation System (INS). Gyroscopes have been widely used in aerospace applications for stabilizing aircrafts. In our case we use gyroscope as means of determining the heading of the robot. Further, commands can be sent to the robot when it is off balance or off-track. Sensors are inherently error prone; hence the process of geolocation is complicated and limited by the imperfect mathematical modeling of input noise. We make use of Kalman Filter for processing erroneous sensor data, as it provides us a robust and stable algorithm. The error characteristics of the sensors are input to the Kalman Filter and filtered data is obtained. We have performed a large set of experiments, both indoors and outdoors to test the reliability of the system. In outdoors we have used the GPS signal to aid the INS measurements. When indoors we utilize the last known position and extrapolate to obtain the GPS co-ordinates.M.S.Cp.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Computer Engineering
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DeFries, Danny L. "Inexpensive global location and tracking systems using geostationary satellites." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27094.
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Farag, Emad William. "Online multi-person tracking using feature-less location measurements." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/112867.
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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
This thesis presents a scalable real-time multi-object tracking system based on feature-less location measurements. The thesis introduces a two-stage object tracking algorithm along with a server infrastructure that allows users to view the tracking results live, replay old frames, or compute long-term analytics based on the tracking results. In the first tracking stage, consecutive measurements are connected to form short tracklets using an algorithm based on MHT. In the second stage, the tracklets are connected to form longer tracks in an algorithm that reduces the tracking problem to a minimum-cost flow problem. The system infrastructure allows for a large number of connected devices or sensors while reducing the possible points of failure. The tracking algorithms are evaluated in a controlled environment and in a daylong experiment in a real setting. In the latter, the number of people detected by the tracking algorithms was correct 83% of the time when tracking was done using noisy motion-based measurements.
by Emad William Farag.
M. Eng.
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Krenek, Oliver Francis Daley. "Particle Filtering for Location Estimation." Thesis, University of Canterbury. Electrical and Computer Engineering, 2011. http://hdl.handle.net/10092/5805.
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Vehicle location and tracking has a variety of commercial applications and none of the techniques currently used can provide accurate results in all situations. This thesis details a preliminary investigation into a new location estimation method which uses optical environmental data, gathered by the vehicle during motion, to locate and track vehicle positions by comparing said data to pre-recorded optical maps of the intended location space. The design and implementation of an optical data recorder is presented. The map creation process is detailed and the location algorithm, based on a particle filter, is described in full.
System tests were performed offline on a desktop PC using real world data collected by the data recorder and their results are presented. These tests show good performance for the system tracking the vehicle once its approximate location is determined. However locating a vehicle from scratch appears to be infeasible in a realistically large location space.
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Cavanaugh, Andrew F. "Bayesian Information Fusion for Precision Indoor Location." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/157.
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This thesis documents work which is part of the ongoing effort by the Worcester Polytechnic Institute (WPI) Precision Personnel Locator (PPL) project, to track and locate first responders in urban/indoor settings. Specifically, the project intends to produce a system which can accurately determine the floor that a person is on, as well as where on the floor that person is, with sub-meter accuracy. The system must be portable, rugged, fast to set up, and require no pre-installed infrastructure. Several recent advances have enabled us to get closer to meeting these goals: The development of Transactional Array Reconciliation Tomography(TART) algorithm, and corresponding locator hardware, as well as the integration of barometric sensors, and a new antenna deployment scheme. To fully utilize these new capabilities, a Bayesian Fusion algorithm has been designed. The goal of this thesis is to present the necessary methods for incorporating diverse sources of information, in a constructive manner, to improve the performance of the PPL system. While the conceptual methods presented within are meant to be general, the experimental results will focus on the fusion of barometric height estimates and RF data. These information sources will be processed with our existing Singular Value Array Reconciliation Tomography (σART), and the new TART algorithm, using a Bayesian Fusion algorithm to more accurately estimate indoor locations.
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Dholakia, Kaival. "ANDROID AND WEB APPLICATION FOR TRACKING EMPLOYEES." CSUSB ScholarWorks, 2019. https://scholarworks.lib.csusb.edu/etd/953.
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The purpose that this tracking system serves is to keep track of the employees of the company who have the nature of their job which involves a lot of traveling to various locations on a day to day basis. It is an amalgamation of Android as well as a Web application. The employee is supposed to pass the location and image as per the terms and conditions specified to use the Android application. The web application is used by the admin department to access the information which would help them monitor the location of the employee in a timely manner. The Android application is developed using Native Android on Android Studio while Visual Studio 2017 is being used for the functioning of the web application.
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Ackerman, Samuel. "A Probabilistic Characterization of Shark Movement Using Location Tracking Data." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/499173.
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StatisticsPh.D.
Our data consist of measurements of 22 sharks' movements within a 366-acre tidal basin. The measurements are made at irregular time points over a 16-month interval. Constant-length observation intervals would have been desirable, but are often infeasible in practice. We model the sharks' paths at short constant-length intervals by inferring their behavior (feeding vs transiting), interpolating their locations, and estimating parameters of motion (speed and turning angle) in environmental and ecological contexts. We are interested in inferring regional differences in the sharks' behavior, and behavioral interaction between them. Our method uses particle filters, a computational Bayesian technique designed to sequentially model a dynamic system. We discuss how resampling is used to approximate arbitrary densities, and illustrate its use in a simple example of a particle filter implementation of a state-space model. We then introduce a particular model formulation that uses conditioning to introduce unobserved parameters for the shark's behaviors. We show how the irregularly-observed shark locations can be modeled by interpolation as a set of movements at constant-length time intervals. We use a spline method for generating approximations of the ground truth at these intervals for comparison with our model. Finally, we demonstrate our model's estimates of the sharks' behavioral and ecological parameters of interest on a subset of the observed data.
Temple University--Theses
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Lee, David Ph D. Massachusetts Institute of Technology. "Transforming waste management systems through location tracking and data sharing." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101370.
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Thesis: Ph. D. in Urban and Regional Planning, Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2015.Cataloged from PDF version of thesis.
Includes bibliographical references.
This dissertation investigates how location tracking technologies can transform municipal solid waste management in smart cities. While waste is often tracked in aggregate as it flows between and through handling facilities, there have been few attempts to follow individual trash items geographically using GPS and web-based mapping. Such data change the interaction between citizens, local government, and service providers, by revealing inefficiencies or fraud in disposal practices, or building trust between stakeholders and enabling alternative approaches for contracting waste services. Five essays demonstrate various designs and evaluations of real-time waste tracking systems, identify challenges and opportunities for incorporating these tools, and show how developed and developing cities can learn from each other. The first essay presents a system where individuals electronically tag a trash item, and view its movements in real-time. By surveying volunteers who participated in this experiment, it shows how this feedback can significantly improve their knowledge of how waste systems operate and where different types end up. The second essay extends this method for tracking hazardous electronic waste, such as CRT monitors, when illegally exported from high- to low-income countries. This information allows activist groups to investigate smuggling routes and support public agencies in enforcing international law. The third and fourth essays implement waste tracking in Brazil and Kenya, where many cities rely on informal workers to collect and recycle trash. By carrying smartphones tracking their location, waste pickers can map their own movements, waste generation, and material flow across the city. This allows them to organize more efficient routes, coordinate actions in real-time, and negotiate more favorable partnerships with government and private clients. Planners also benefit from crowdsourced data in informal areas. Looking to the future, the fifth essay considers how formal waste collection services could be made transparent, and how this supports crowdsourcing efforts to improve their efficiency and better meet resident needs. Doing so requires design of both real-time urban dashboards and citizen feedback mobile applications. The result transforms how cities benchmark effective municipal services and strive for high quality urban environments.
by David Lee.
Ph. D. in Urban and Regional Planning
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Horng, Tzu-Ching. "Inferring queueing network models from high-precision location tracking data." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/13700.
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Stochastic performance models are widely used to analyse the performance and reliability of systems that involve the flow and processing of customers. However, traditional methods of constructing a performance model are typically manual, time-consuming, intrusive and labour-intensive. The limited amount and low quality of manually-collected data often lead to an inaccurate picture of customer flows and poor estimates of model parameters. Driven by advances in wireless sensor technologies, recent real-time location systems (RTLSs) enable the automatic, continuous and unintrusive collection of high-precision location tracking data, in both indoor and outdoor environment. This high-quality data provides an ideal basis for the construction of high-fidelity performance models. This thesis presents a four-stage data processing pipeline which takes as input high-precision location tracking data and automatically constructs a queueing network performance model approximating the underlying system. The first two stages transform raw location traces into high-level “event logs” recording when and for how long a customer entity requests service from a server entity. The third stage infers the customer flow structure and extracts samples of time delays involved in the system; including service time, customer interarrival time and customer travelling time. The fourth stage parameterises the service process and customer arrival process of the final output queueing network model. To collect large-enough location traces for the purpose of inference by conducting physical experiments is expensive, labour-intensive and time-consuming. We thus developed LocTrack- JINQS, an open-source simulation library for constructing simulations with location awareness and generating synthetic location tracking data. Finally we examine the effectiveness of the data processing pipeline through four case studies based on both synthetic and real location tracking data. The results show that the methodology performs with moderate success in inferring multi-class queueing networks composed of single-server queues with FIFO, LIFO and priority-based service disciplines; it is also capable of inferring different routing policies, including simple probabilistic routing, class-based routing and shortest-queue routing.
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Al, Ridhawi Ismaeel. "Design and implementation of a location-aware user tracking system." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28397.
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Communication devices are establishing themselves as ubiquitous features of users' daily life. This advancement is linked to tremendous growth in the sophistication of mobile-aware applications. Such applications need access to information about the users' and other objects' physical locations, a requirement known as location-awareness.
Existing location-aware applications and systems are typically restricted to a particular type of positioning technology, while modern location-aware services and applications use context and prediction methods to adapt to the needs of users and changes in the environment. The use of a single sensing technology alone provides a less accurate estimation of a user's current location.
In this paper, we introduce an ontology-based location tracking system. It makes use of multiple sensing technologies and includes a prediction method for identifying a user's current location and predicted future location. Our system architecture better serves the client by using location and context information and is, therefore, an important step forward in predictive tracking.
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Hightower, Jeffrey. "The location stack /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6917.
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Steinhoff, Ulrich [Verfasser]. "Exploring Location Technologies – Alternative Location Technologies for Mobile Users & Potential of Long Term Tracking / Ulrich Steinhoff." München : Verlag Dr. Hut, 2010. http://d-nb.info/1009095676/34.
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Harrison, Ben George. "Location based sleep scheduling for target tracking wireless sensor network applications." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528014.
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Miller, Elizabeth Caitlin. "Tracking Atlantic Hurricanes Using Statistical Methods." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4730.
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Creating an accurate hurricane location forecasting model is of the utmost importance because of the safety measures that need to occur in the days and hours leading up to a storm's landfall. Hurricanes can be incredibly deadly and costly, but if people are given adequate warning, many lives can be spared. This thesis seeks to develop an accurate model for predicting storm location based on previous location, previous wind speed, and previous pressure. The models are developed using hurricane data from 1980-2009.
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Franzese, Anthony L. "Real-time Location with ZigBee Hardware." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1299008394.
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Kim, Gak Gyu. "Locating and tracking assets using RFID." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1540.
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Abell, Drew Q. "Mobile Tracking and Location Awareness in Disaster Relief and Humanitarian Assistance Situations." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17311.
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Approved for public release; distribution is unlimitedSituational awareness is one of the most important aspects to a commander in any type of mission, be it humanitarian relief, disaster recovery, or armed conflict. Through the past several decades, with the use of technology, we have been able to develop systems that help improve the commanders situational awareness of the mission. One of the major problems with this has been that every organization uses different technology to communicate, which causes interoperability issues and a lack of a Common Operational Picture (COP) between them. Commercial Off-the-Shelf (COTS) equipment that is relatively inexpensive, easily obtainable, simple to operate, and rapidly distributable to different organizations can help bridge this gap in the overall mission situational awareness. The goal of this research is to explore how to effectively implement Android-based devices to provide the tracking of team members and locations of significant activities/equipment graphically through the use of GPS, Google Maps, and custom overlays to increase situational awareness, thereby constructing a COP to assist in disaster relief efforts.
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Bidder, Owen R. "A movement ecology toolkit : novel biotelemetry methodologies for elucidating animal behaviour and location." Thesis, Swansea University, 2014. https://cronfa.swan.ac.uk/Record/cronfa42816.
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This thesis aims to address some of the deficiencies that exist in this discipline, in order to widen the applicability of biotelemetry methods and ultimately provide new data which will improve our understanding of animal movement strategies.
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Lemelson, Hendrik [Verfasser], and Wolfgang [Akademischer Betreuer] Effelsberg. "Improved Tracking with IEEE 802.11 and Location Fingerprinting / Hendrik Lemelson. Betreuer: Wolfgang Effelsberg." Mannheim : Universitätsbibliothek Mannheim, 2012. http://d-nb.info/1034490486/34.
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Nouri, Cameron Ramin. "INDOOR LOCATION TRACKING AND ORIENTATION ESTIMATION USING A PARTICLE FILTER, INS, AND RSSI." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1356.
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With the advent of wireless sensor technologies becoming more and more common-place in wearable devices and smartphones, indoor localization is becoming a heavily researched topic. One such application for this topic is in the medical field where wireless sensor devices that are capable of monitoring patient vitals and giving accurate location estimations allow for a less intrusive environment for nursing home patients.
This project explores the usage of using received signal strength indication (RSSI) in conjunction with an inertial navigation system (INS) to provide location estimations without the use of GPS in a Particle Filter with a small development microcontroller and base station. The paper goes over the topics used in this thesis and the results.
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Anastasiou, Nikolas. "Automated construction of Petri net performance models from high-precision location tracking data." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11586.
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Stochastic performance models are widely used to analyse the performance and reliability of systems that involve the flow and processing of customers and resources. However, model formulation and parameterisation are traditionally manual and thus expensive, intrusive and error-prone. This thesis illustrates the feasibility of automated performance model construction from high-precision location tracking data. In particular, we present a methodology based on a four-stage data processing pipeline which automatically constructs Coloured Generalised Stochastic Petri Net (CGSPN) performance models from an input dataset consisting of raw location tracking traces. The output performance model can be visualised using PIPE2, the platform independent Petri Net editor. The developed methodology can be applied to customer-processing systems which support multiple customers classes and can capture the initial and inter-routing probability of the customer flow of the underlying system. Furthermore, it detects any presence-based synchronisation conditions that may be inherent in the underlying system and the presence of service cycles. Service time distributions, one for each customer class, of each service area in the system and travelling time distributions between pairs of service areas are also characterised. PEPERCORN, the tool that implements the developed methodology, is also presented. In addition to the latter, this thesis presents LocTrackJINQS, the extensible, location-aware Queueing Network simulator. LocTrackJINQS was developed to support location-based research. It has the ability to simulate a user-specified Queueing Network and while simulation progresses, it generates and outputs location tracking data – associated with the movement of the customers in the network – in a trace file. Our methodology is evaluated through six case studies. These case studies use synthetic location tracking data generated by LocTrackJINQS. The obtained results suggest that the methodology can infer the abstract structure of the system – specified in terms of the locations and service radii of the system’s service areas (max error 0.320 m and 0.277 m respectively) and customer flow – and approximate its service time delays well. In fact, the maximum relative entropy value that was obtained between the simulated and inferred service time distributions is 0.324 nats. Furthermore, whenever synchronisation between service areas takes place, the simulated synchronisation conditions are successfully inferred.
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Malik, Zohaib Mansoor. "Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13261.
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A general automotive navigation system is a satellite navigation system designed for use inautomobiles. It typically uses GPS to acquire position data to locate the user on a road in the unit's map database. However, due to recent improvements in the performance of small and lightweight micro-machined electromechanical systems (MEMS) inertial sensors have made the application of inertial techniques to such problems, possible. This has resulted in an increased interest in the topic of inertial navigation. In location tracking system, sensors are used either individually or in conjunction like in data fusion. However, still they remain noisy, and so there is a need to measure maximum data and then make an efficient system that can remove the noise from data and provide a better estimate. The task of this thesis work was to take data from two sensors, and use an estimation technique toprovide an accurate estimate of the true location. The proposed sensors were an accelerometer and a GPS device. This thesis however deals with using accelerometer sensor and using estimation scheme, Kalman filter. The thesis report presents an insight to both the proposed sensors and different estimation techniques. Within the scope of the work, the task was performed using simulation software Matlab. Kalman filter’s efficiency was examined using different noise levels.
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Schreiber, Jonah. "Tracking Online Trend Locations using a Geo-Aware Topic Model." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190887.
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In automatically categorizing massive corpora of text, various topic models have been applied with good success. Much work has been done on applying machine learning and NLP methods on Internet media, such as Twitter, to survey online discussion. However, less focus has been placed on studying how geographical locations discussed in online fora evolve over time, and even less on associating such location trends with topics. Can online discussions be geographically tracked over time? This thesis attempts to answer this question by evaluating a geo-aware Streaming Latent Dirichlet Allocation (SLDA) implementation which can recognize location terms in text. We show how the model can predict time-dependent locations of the 2016 American primaries by automatic discovery of election topics in various Twitter corpora, and deduce locations over time.
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Sconyers, Christopher. "Particle filter-based architecture for video target tracking and geo-location using multiple UAVs." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47734.
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Research in the areas of target detection, tracking, and geo-location is most important for enabling an unmanned aerial vehicle (UAV) platform to autonomously execute a mission or task without the need for a pilot or operator. Small-class UAVs and video camera sensors complemented with "soft sensors" realized only in software as a combination of a priori knowledge and sensor measurements are called upon to replace the cumbersome precision sensors on-board a large class UAV. The objective of this research is to develop a geo-location solution for use on-board multiple UAVs with mounted video camera sensors only to accurately geo-locate and track a target. This research introduces an estimation solution that combines the power of the particle filter with the utility of the video sensor as a general solution for passive target geo-location on-board multiple UAVs. The particle filter is taken advantage of, with its ability to use all of the available information about the system model, system uncertainty, and the sensor uncertainty to approximate the statistical likelihood of the target state. The geo-location particle filter is tested online and in real-time in a simulation environment involving multiple UAVs with video cameras and a maneuvering ground vehicle as a target. Simulation results show the geo-location particle filter estimates the target location with a high accuracy, the addition of UAVs or particles to the system improves the location estimation accuracy with minimal addition of processing time, and UAV control and trajectory generation algorithms restrict each UAV to a desired range to minimize error.
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Danancher, Mickaël. "A discrete event approach for model-based location tracking of inhabitants in smart homes." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00955543.
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Life expectancy has continuously increased in most countries over the last decades and will probably continue to increase in the future. This leads to new challenges relative to the autonomy and the independence of elderly. The development of Smart Homes is a direction to face these challenges and to enable people to live longer in a safe and comfortable environment. Making a home smart consists in placing sensors, actuators and a controller in the house in order to take into account the behavior of their inhabitants and to act on their environment to improve their safety, health and comfort. Most of these approaches are based on the real-time indoor Location Tracking of the inhabitants. In this thesis, a whole new approach for model-based Location Tracking of an a priori unknown number of inhabitants is proposed. This approach is based on Discrete Event Systems paradigms, theory and tools. The usage of Finite Automata (FA) to model the detectable motion of the inhabitants as well as different methods to create such FA models have been developed. Based on these models, algorithms to perform efficient Location Tracking are defined. Finally, several approaches aiming at evaluating the relevance of the instrumentation of a Smart Home with the objective of Location Tracking are proposed. The approach has also been fully implemented and tested. Throughout the thesis, the different contributions are illustrated on case studies.
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Hurd, William J., Joseph I. Statman, and Victor A. Vilnrotter. "GPS HIGH DYNAMIC RECEIVER TRACKING DEMONSTRATION RESULTS." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615742.
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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, NevadaDemonstration results are presented for a high dynamic GPS receiver. The receiver tested is a breadboard unit capable of tracking one simulated satellite signal in pseudorange and range rate. The receiver makes approximate maximum likelihood estimates of pseudorange and range rate each 20 ms, and tracks these observables using a third order filter with a time constant of 0.14 s. Carrier phase is not tracked, which eliminates the typical failure mode of loss of carrier lock associated with PLLs at high dynamics. The receiver tracks with pseudorange lag errors of under 0.06 m when subjected to simulated 50 g turns with 40 g/s peak jerk. Pseudorange errors due to receiver noise alone are approximately 0.6 m rms at a carrier power to noise spectral density ratio of 34 dB-Hz. The tracking threshold SNR is approximately 28 dB-Hz, which provides 12 dB margin relative to the 40 dB-Hz that occurs with minimum specified satellite signal strength, 3.5 dB system noise figure, and 0 dBi antenna gain.
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KADAMBARI, SIREESHA. "USING TRACKING AND BUFFERING TO IMPROVE DELIVERY PERFORMANCE IN AD HOC NETWORKS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1059423261.
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Maharaj, Robin. "Design of asset tracking device with GPRS Interface." Thesis, Cape Peninsula University of Technology, 2019. http://hdl.handle.net/20.500.11838/2815.
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Thesis (Master of Engineering in Electrical Engineering)--Cape Peninsula University of Technology, 2018.IOT devices have the potential to improve asset lifecycle optimization because of their ability to provide relevant real time data to high level applications. This data with minimal latency can assist asset managers to control the behaviour of assets and asset users to optimize asset lifecycle cost. There are many environments that require asset tracking devices but this design focussed on motor vehicles with auxiliary functions and apparatus. This research work documented the design of an asset tracking device built and tested on a 32.bit microcontroller platform with built-in CAN peripheral. This design resolved handling multiple serial interfaces collating data simultaneously concatenating this data and transmitting the data via GPRS interface as a single UDP sentence. Apart from interfacing various serial interfaces to the Stm24f4 this design also implemented a Wireless module as well as a multichannel ADC Module. This design was accomplished by researching and implementing software techniques as well as researching the hardware/firmware in terms of DMA and Nested Vector Interrupt Controller of the STM32 devices. The solution that this design will accomplish is to provide the industry an asset-tracking device with data capturing functionality capable of delivering the above needs at reasonable data cost. The device designed in this thesis is the client device of asset tracking network. This design was accomplished on a proof of concept basis delivering built hardware in the form of various application modules interfaced to a 32 –bit microcontroller via uart, SPI and CAN.
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Sitanayah, Lanny. "Finding boundary cycles in location-free low density wireless sensor networks for mobile target tracking." University of Western Australia. School of Computer Science and Software Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0158.
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Wireless Sensor Networks (WSNs) comprise a large number of sensor nodes, which are spread out within a region and communicate using wireless links. In some WSN applications, recognizing boundary nodes is important for topology discovery, geographic routing and tracking. In this thesis, we study the problem of identifying the boundary nodes of a WSN. In a WSN, close-by nodes can communicate with their neighbors and have the ability to estimate distances to nearby nodes, but not necessarily the true distances. Our objective is to find the boundary nodes by using the connectivity relation and neighbor distance information without any knowledge of node locations. Moreover, our main aim is to design a distributed algorithm that works even when the average degree is low. We propose a heuristic algorithm to find the boundary nodes which are connected in a boundary cycle of a location-free, low density, randomly deployed WSN. We develop the key ideas of our boundary detection algorithm in the centralized scenario and extend these ideas to the distributed scenario. Then, we show by simulation experiments that the distributed implementation outperforms the centralized one. The centralized implementation relies on the connectivity of the network to the base station. Therefore, for low density disconnected networks, the algorithm cannot find boundaries in partitions of the network that cannot establish connection to the base station. This condition leads to a low quality of boundary discovery. In contrast, the distributed implementation is more realistic for real WSNs, especially for relatively sparse networks when all local information cannot be collected very well due to sparse connectivity. In low-degree disconnected networks, the simulation results show that the distributed implementation has a higher quality of boundaries compared to the centralized implementation.
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Costin, Aaron M. "Integration of passive RFID location tracking for real-time visualization in building information models (BIM)." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50395.
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Navigation through large and unfamiliar facilities with labyrinths of corridors and rooms is difficult and often results in a person being lost. Additionally, locating a specific utility within a facility is often a tough task. The hypothesis tested in this research is that integrating real-time automated sensing technology and a Building Information Model will provide real time visualization that can assist in localization and navigation of a facility. The scope of this research is facility maintenance management during the Operation and Maintenance (O&M) phase of a facility. The thesis demonstrates how the integration of passive Radio Frequency Identification (RFID) tracking technology and Building Information Modeling (BIM) can assist in facilities maintenance management. The objectives of this research included 1) developing a framework that utilizes the integration of commercially-available RFID and a BIM model; 2) evaluating the framework for real-time resource location tracking within an indoor environment; and 3) developing an algorithm for real-time localization and visualization in a BIM model. A prototype application has been developed that simultaneously connects the RFID readers, a database, and a BIM model. The goal of this system is to have a real-time localization accuracy of 3 meters at 95% confidence. Testing was conducted in laboratory conditions, and the results show that the system error was within the 3 meters goal.
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Ming-Yang, Pan, and 潘明揚. "Location Tracking with Tree Structure." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/62417214519370691024.
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Lee, ChiChih, and 李啟至. "A Dynamic Location Tracking for PCS Using Hierarchical Location Databases." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/19252075079990588800.
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碩士國立中正大學
資訊工程研究所
90
In this thesis, we propose a dynamic location tracking strategy for the hierarchical location database architecture in personal communication service systems (PCS). In our strategy, a user's current location is stored at a specific location database, called the local anchor (LA). We focus on studying the problem how to decide the best position for the LA to get a great benefit in location registration. The LA periodically collects the user's mobility and calling patterns and dynamically changes its position according to his/her behavior after a period of time. When a user has a small call-to-mobility ratio (CMR), our strategy efficiently reduces registration costs. Besides, we use caching bypass pointers for call delivery procedures but avoid cache miss which happens in the caching strategy. Thus our strategy has the same performance as the caching strategy in reducing call delivery costs when the CMR is large, but performs much better than the caching strategy when the CMR is small. Our simulation result shows that our strategy produces 30% performance improvement than the basic strategy and 20% performance improvement than the caching strategy.
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Wang, JauChing, and 王兆慶. "Location Tracking Based onWireless Sensor Network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/04215775886478927302.
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碩士國立中正大學
電機工程所
94
The objective of this research is developing a local positioning system by ZigBee wireless LAN. This system can be used in libraries, museums,…etc. The whole system uses MICAz which is a wireless sensor transmitting and receiving module, developed by Cross-Bow, to implement local positioning system. And this system combines with MIB510, developed by Cross-Bow, to connect MICAz. Then communicate with the computer through RS-232. This thesis is implementing local positioning system. First, we set six sensor nodes, called referring nodes. These nodes will broadcast information regularly to moving node. Then we estimate the distance from the intensity of the receiving signal, and an algorithm is used to get the position of moving node. Aftermost we will discuss the static and dynamic part of local positioning system.
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Liao, Jun-Ming, and 廖俊明. "An Intelligent Location Tracking Strategy in PCS." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/21395102915565907707.
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碩士國立交通大學
資訊科學學系
86
An alternative strategy (AS) for location management has been proposed for improvingthe classical strategy (CS) for location management used in GSM. It significantlyreduces the location update signaling traffic on the radio link by increasing theresponsibility of the fixed network. The AS stores the mobile related informationand brings great savings in system resources when a mobile host (MH) has a highpredictable mobility pattern. However, the AS is only suitable for long term eventsand fixed movement tracks. It's location tracking will cost more when the MH changesits movement habit or encounters some short term events. In this paper, we proposea novel method which aims at reduction of signaling overhead resulting from locationtracking in the above situations. The key idea is taking the recent user movementinformation (i.e., last connection's location area and start time of the lastconnection), that is called paging information record, into account to determinewhich location area to be paged first. Performance analysis has been conducted usinga city area zone model which can model a realistic city area environment. Experimentalresults show that our method can reduce 14\% - 55\% and 6\% - 39\% location management's signaling cost compared with the CS and AS, respectively. Besidesmaintaining low location update cost as that of AS, our intelligent location trackingstrategy achieves a significant reduction in location tracking cost than the AS. Theoverhead of our approach is the additional storage space required (for storing MHprofiles and paging information records) in network databases and the additionalprocessing time of profiles and paging information records. However, neither the storage nor the processing time requirements can be considered significant in termsof today's memory capacity and processor speed as far as the reduction of signalingtraffic implying more bandwidth available.
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Wu, Shin-Jan, and 吳欣展. "RFID-assisted Physical Object Location Tracking System." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/88078176468703864945.
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CHUANG, I.-HAO, and 莊益豪. "The Location Tracking System for Elderly Travel." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/kefgzb.
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碩士東海大學
電機工程學系
106
In recent years, medical progress have impelled an increase in the people’s life expectancy and a reduction in fertility rates. The world is facing the problem of aging population. According to statistics from the Ministry of the Interior of Taiwan, the proportion of elderly people in Taiwan reached 13.66% in September, 2016, and this problem is becoming increasingly serious. The olds need more attention in medical care, nursing care, living assistance, and entertainment. Among them, the more frequent problems in tourism and mountaineering are getting lost. This paper proposes a system that is suitable for elderly’s travel safety and prevention of missing. It is named as The Location Tracking System. It uses smart mobile devices to obtain user's location through Global Positioning System (GPS), and then uses Android system to integrate cloud database, setting user’s safety distance to prevent missing and danger. The system also provides function for SOS. When users need, it will promptly notify and seek for help, making the elder travel safer and more convenient.
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卓威辰. "Intrusive location Tracking Display Home Burglar Developed." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/02419607371056947382.
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碩士建國科技大學
自動化工程系暨機電光系統研究所
100
Abstract The design purpose of this system is to improve traditional anti-thief system, No mobile location tracking criminals invade Whereabouts display and make the household a safe space in order to secure people’s property. The system design makes use of intelligent control to integrate a door bell function in normal days and an image detection tracking at nights. The intelligent anti-theft system replaces traditional one-way monitor and combines with the computer to be a real-time image anti-theft controller. In addition, it transmits data by wireless network and application of temperature sensor as gangsters invaded sites display allows the thief can not hide. It actually ensures people’s life and property and carries out household anti-theft image tracking system.
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Song, Jongchul Haas Carl T. "Tracking the location of materials on construction projects." 2005. http://repositories.lib.utexas.edu/bitstream/handle/2152/2104/songj76120.pdf.
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Shun-Yuan, Yeh. "GETA Sandals: Wearable Indoor Self Location Tracking System." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1907200614111400.
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Okuda, Kenji. "The GETA sandals: A Footprint Location Tracking System." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-0607200516425900.
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左自正. "Location tracking with gray relational grade in PCS." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/89214355682517995906.
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阮筱喬. "The Sound Location Tracking System with Self-Adjusting." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/53000283374762823353.
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Wu, Hung-I., and 吳弘一. "A Cloud-Based Location Tracking and Management System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/69661174895757906949.
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碩士國立臺灣海洋大學
電機工程學系
99
In today’s heavily networked society, dynamic location tracking technology plays an important role in many business activities, such as taxi dispatching, bus fleet monitoring, and logistics management. Also in recent years, cloud computing has quickly become one of the most exciting technological advancements. Many PC and server based applications now have cloud based alternative. For those information services demanded by vast amount of users, “shift to the Cloud” has become a trend that is practical and hard to be ignored. Moving dynamic location tracking and management to a cloud platform is no exception and is a logical and natural technological evolution. Based on this concept, this thesis develops a cloud computing based dynamic location tracking and management system. The cloud computing platform of our choice is the well-known Google App Engine (GAE). This system has the following basic functions: (1) Displaying on an electronic map the locations of all users who have logged in the system, (2) Sending text messages between users through the system; (3) Showing the path history of each user. System planners can quickly and easily construct a position monitoring system by using these basic functions. To access the service, users can use any smartphone or GPS-equipped mobile device to connect to the Google platform. Currently, this system supports the Android Mobile Platform only. To demonstrate the system’s practicality, we have also developed in this thesis two example applications: a sex offender parolee monitoring system and a system which helps locating family members who occasionally wander around and get lost because of Alzheimer's disease. Both examples serve to show application developers how to quickly construct their own location tracking and monitoring services.
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Chen, Pei-Yuan, and 陳培源. "Applied Zigbee Technology in Wireless Location Tracking system." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/08992972418079717730.
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碩士正修科技大學
電子工程研究所
95
Nowadays due to the rapid development of wireless network technology and the great growth of the service demand, accurate location estimation has gained considerable attention.This research develops wireless sensor network by ZigBee technology. ZigBee is a Wireless Personal Area Network (WPAN) with the characteristics of low power consumption, low cost,two-way communication and sensor network capability.Global Positioning System (GPS) is a current positioning system for an open and wide area. However,GPS is not suitable for accurate indoor position locating. In this research we first establish the Received Signal Strength Indication（RSSI）database of the reference nodes and the RSSI of the mobile nodes,and then use a position allocation algorithm to compute the position estimation. We also develop a position allocation program to track object location. The developed system will be applied to personal allocation management and object location tracking system.
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Song, Jongchul. "Tracking the location of materials on construction projects." Thesis, 2005. http://hdl.handle.net/2152/2104.
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Yeh, Shun-Yuan, and 葉舜元. "GETA Sandals: Wearable Indoor Self Location Tracking System." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/93404146567776354794.
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碩士國立臺灣大學
資訊工程學研究所
94
This paper presents the design, implementation, and evaluation of our wearable indoor self location tracker. This is the extension work of our footprint-based location tracking system. In this work we design two methods called the ultrasound-based method and the accelerometer-based method to independently measuring and tracking displacement vectors along a trail of footsteps. The position of a user can be calculated by summing up the current and all previous displacement vectors. Unlike most existing indoor location systems, the footstep-based tracker does not suffer from problems with obstacles, multi-path effects, signal interferences, dead spots and demands little infrastructure in the environment. We evaluate our two methods with a traditional Japanese GETA sandals equipped with force, ultrasonic, orientation, RFID sensors and an accelerometer. There are two technical challenges in the proposed design: (1) location error accumulates over distance traveled, and (2) displacement measurements are sporadic during stair climbing. The first problem is addressed by a light RFID infrastructure, while the second problem is remedied by incorporating the accelerometer-based method into the system.