Mobile Positioning and Tracking

This book presents the most recent state of the art in mobile positioning and tracking techniques. This book discusses mobile positioning solutions applied on top of current wireless communication networks. In addition, the authors introduce advanced and novel topics such as localization in heterogeneous and cooperative networks, providing a unified treatment of the topic for researchers and industry professionals alike. Furthermore, the book focuses on application areas of positioning, basics of wireless communications for positioning, data fusion and filtering techniques, fundamentals of tracking, error mitigation techniques, positioning systems and technologies, and cooperative mobile positioning systems. Key Features: Covers the state of the art of satellite- and terrestrial-based positioning systems, spanning from outdoor to indoor environments and from wide area networks to short-range networks Discusses a whole range of topics related to mobile positioning: from fundamentals of positioning to the description of a wide spectrum of mobility models for tracking, from details on data fusion and filtering techniques to error mitigation techniques (including aspects of signal processing) Provides a solid bridge between research and industry envisaging a potential implementation of the presented solutions Fills the gap between positioning and communication systems, showing how features of communication systems can be used for positioning purposes and how the retrieved location information can be used to enhance the performance of wireless networks. Includes an accompanying website This book will be a valuable guide for advanced students studying related courses. Professionals and practitioners in the field of positioning and mobile technologies, and software and service developers will also find this book of interest.

Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras. Starting from the general problem definition and a review of existing and emerging video tracking applications, the book discusses popular methods, such as those based on correlation and gradient-descent. Using practical examples, the reader is introduced to the advantages and limitations of deterministic approaches, and is then guided toward more advanced video tracking solutions, such as those based on the Bayes’ recursive framework and on Random Finite Sets. Key features: Discusses the design choices and implementation issues required to turn the underlying mathematical models into a real-world effective tracking systems. Provides block diagrams and simil-code implementation of the algorithms. Reviews methods to evaluate the performance of video trackers – this is identified as a major problem by end-users. The book aims to help researchers and practitioners develop techniques and solutions based on the potential of video tracking applications. The design methodologies discussed throughout the book provide guidelines for developers in the industry working on vision-based applications. The book may also serve as a reference for engineering and computer science graduate students involved in vision, robotics, human-computer interaction, smart environments and virtual reality programmes

From stars to terrestrial networks and satellites From outdoors to indoors From ancient to future applications From techniques to technologies . . . The field of radionavigation signals and systems has seen significant growth in recent years. Satellite systems are very efficient, but owing to their limited exposure and/or availability in some environments, they do not cover the whole spectrum of applications. Thus, many other positioning techniques are being developed. Now, Global Positioning presents an overview of the strengths and weaknesses of various systems with a specific emphasis on those that are satellite-based. Beginning with a description of the evolution of positioning systems, the book provides detailed coverage of the three main Global Navigation Satellite System (GNSS) constellations, discusses how to cope with indoor positioning, defines development activities and commercial positioning, and proposes a vision for the future of the field. Special features of the book include: Exercises to test and challenge the reader's understanding Direct comparison between constellations and other positioning systems Mathematical content kept to a minimum in order to maximize accessibility and readability Descriptions of European and U.S. discussions for Galileo Historical aspects and links between the distant past and current systems Footnotes that provide hints and comments to the reader At a time when the positioning domain is experiencing such immense transformation, it is vital to have a solid understanding of the fundamental principles, current tech-nologies, and future improvements that will help estimate the performance and limita-tions of existing systems. Global Positioning fills an important need for professionals and students in a variety of fields who want a complete and authoritative overview of global positioning techniques.

The only comprehensive guide to Kalman filtering and its applications to real-world GPS/INS problems Written by recognized authorities in the field, this book provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Positioning Systems (GPS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GPS-aided INS, modeling of gyros and accelerometers, and WAAS and LAAS. Drawing upon their many years of experience with GPS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references, including original techniques for: * Representing the problem in a mathematical model * Analyzing the performance of the GPS sensor as a function of model parameters * Implementing the mechanization equations in numerically stable algorithms * Assessing computation requirements * Testing the validity of results * Monitoring GPS, INS, and Kalman filter performance in operation In order to enhance comprehension of the subjects covered, the authors have included software in MATLAB, demonstrating the workings of the GPS, INS, and filter algorithms. In addition to showing the Kalman filter in action, the software also demonstrates various practical aspects of finite word length arithmetic and the need for alternative algorithms to preserve result accuracy. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

A unique guide to the state of the art of tracking, classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in filtering and tracking A state-of-the-art algorithm for hybrid Bayesian network (BN) inference that is efficient and scalable for complex classification models New structural results in stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound (PCRLB) for target tracking and sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance (ISR) With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory.

An updated guide to GNSS and INS, and solutions to real-world GPS/INS problems with Kalman filtering Written by recognized authorities in the field, this second edition of a landmark work provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Navigation Satellite Systems (GNSS), Inertial Navigational Systems (INS), and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GNSS-aided INS, modeling of gyros and accelerometers, and SBAS and GBAS. Drawing upon their many years of experience with GNSS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references. This Second Edition has been updated to include: GNSS signal integrity with SBAS Mitigation of multipath, including results Ionospheric delay estimation with Kalman filters New MATLAB programs for satellite position determination using almanac and ephemeris data and ionospheric delay calculations from single and dual frequency data New algorithms for GEO with L1 /L5 frequencies and clock steering Implementation of mechanization equations in numerically stable algorithms To enhance comprehension of the subjects covered, the authors have included software in MATLAB, demonstrating the working of the GNSS, INS, and filter algorithms. In addition to showing the Kalman filter in action, the software also demonstrates various practical aspects of finite word length arithmetic and the need for alternative algorithms to preserve result accuracy.

Надежная 3-осевая стабилизация подвеса

Благодаря системе стабилизации седьмого поколения от DJI камера Osmo Mobile 7 Series совместима с большинством смартфонов[3], обеспечивая плавные снимки без дрожания.

Быстрое раскрытие, быстрый запуск
Разложите стабилизатор, чтобы включить его. Легко закрепите сопряженный телефон с помощью магнитной конструкции, и DJI Mimo автоматически выдвинется для быстрой съемки.

Встроенный удлинитель и штатив
Встроенная удлинительная штанга и штатив Osmo Mobile 7P[5] обеспечивают универсальные углы обзора без дополнительного оборудования, гарантируя легкость самостоятельной съемки и хранения.

Простые руководства и редактирование одним нажатием
Легко снимайте и редактируйте с помощью приложения Mimo. С ShotGuides и One-Tap Edit вы получите интеллектуальные сведения о сцене и быстро создавайте потрясающие видео.

10-часовая работа аккумулятора и зарядка телефона
Камера Osmo Mobile 7 Series обеспечивает 10 часов работы[6] и оснащена портом USB-C для зарядки телефона, что идеально подходит для продолжительной съемки на открытом воздухе и прямых трансляций.


Батарея
Время зарядки: Приблизительно 2,5 часа
Время работы: Приблизительно 10 часов
Диапазон рабочих температур от 0° до 40° C (от 32° до 104° F)
Диапазон температур зарядки от 5° до 40° C (от 41° до 104° F)
Емкость: 3350 мАч
Порт зарядки: USB-C
Тип: Li-Po 1S
Энергия: 12.06 Вт·ч
Беспроводная связь: Bluetooth 5.3
Многофункциональный модуль
Bluetooth-протокол: Bluetooth 5.3
GFSK 2 Мбит/с
Мощность передатчика Bluetooth (EIRP)
< 16 дБм
Мощность передатчика GFSK (EIRP)
< 16 дБм
Освещенность 40 lux
Рабочая частота Bluetooth 2,4000-2,4835 ГГц
Рабочая частота GFSK 2,4000-2,4835 ГГц
Совместимость
Osmo Mobile 7 ,
Osmo Mobile 7P

Цветовая температура
2500-6000 К
ОСНОВНЫЕ ХАРАКТЕРИСТИКИ
Размеры
В разложенном виде: 278×107×93 мм (Д×Ш×В) ,
В сложенном виде: 179×95×39 мм (Д×Ш×В)

Масса
Gimbal + встроенный штатив + магнитный зажим для телефона: примерно 300 г
Совместимые телефоны
Вес: 170-300 г ,
Толщина: 6,9 - 10 мм ,
Ширина: 67 - 84 мм
Штатив (трипод)
Длина встроенного штатива : 67 мм

Подвес
Контролируемый диапазон
Крен: от -67° до 245° ,
Наклон: от -20° до 40° ,
Панорамирование: от -99° до 210°
Макс. скорость управления
120°/сек

Механический диапазон
Крен: от -77° до 255° ,
Наклон: от -224° до 100° ,
Панорамирование: от -109° до 222°

Приложение: DJI Мимо

The definitive book on Positioning Analysis – a powerful and sophisticated framework to help traders, investors and risk managers better understand commodity markets Positioning Analysis is a powerful framework to better understand commodity price dynamics, risk, and sentiment. It indicates what each category of trader is doing—what they are trading, how much they are trading and how they might behave under a variety of different circumstances. It is essential in isolating specific types of flow patterns, defining behavioral responses, measuring shifts in sentiment, and developing tools for better risk management. Advanced Positioning, Flow and Sentiment Analysis in Commodity Markets explains the fundamentals of Positioning Analysis and presents new concepts in Commodity Positioning Analytics. This invaluable guide helps readers recognize how certain types of positioning patterns can be used to develop models, indicators, and analyses that can be used to enhance performance. This updated second edition contains substantial new material, including analytics based on the analysis of flow, the decomposition of trading flows, trading activity in the Chinese commodity markets, and the inclusion of Newsflow into Positioning Analysis. Author: Mark J S Keenan, also covers the structure of positioning data, performance attribution of speculators, sentiment analysis and the identification of price risks and behavioral patterns that can be used to generate trading signals.. This must-have resource: Offers intuitive and accessible guidance to commodity market participants and risk managers at various levels and diverse areas of the market Provides a wide range of analytics that can be used directly or integrated into a variety of different commodity-related trading, investment, and risk management programs Features an online platform comprising a wide range of customizable, regularly-updated analytical tools Contains an abundance of exceptional graphics, charts, and illustrations Includes easy-to-follow instructions for building analytics. Advanced Positioning, Flow and Sentiment Analysis in Commodity Markets: Bridging Fundamental and Technical Analysis, 2 nd Edition is an indispensable source of information for all types of commodity traders, investors, and speculators, as well as investors in other asset classes who look to the commodity markets for price information.

Ground Based Wireless Positioning provides an in-depth treatment of non-GPS based wireless positioning techniques, with a balance between theory and engineering practice. The book presents the architecture, design and testing of a variety of wireless positioning systems based on the time-of-arrival, signal strength, and angle-of-arrival measurements. These techniques are essential for developing accurate wireless positioning systems which can operate reliably in both indoor and outdoor environments where the Global Positioning System (GPS) proves to be inadequate. The book covers a wide range of issues including radio propagation, parameter identification, statistical signal processing, optimization, and localization in large and multi-hop networks. A comprehensive study on the state-of-the-art techniques and methodologies in wireless positioning and tracking is provided, including anchor-based and anchor-free localisation in wireless sensor networks (WSN). The authors address real world issues such as multipath, non-line-of-sight (NLOS) propagation, accuracy limitations and measurement errors. Presenting the latest advances in the field, Ground Based Wireless Positioning is one of the first books to cover non-GPS based technologies for wireless positioning. It serves as an indispensable reference for researchers and engineers specialising in the fields of localization and tracking, and wireless sensor networks. Provides a comprehensive treatment of methodologies and algorithms for positioning and tracking Includes practical issues and case studies in designing real wireless positioning systems Explains non-line-of-sight (NLOS) radio propagation and NLOS mitigation techniques Balances solid theory with engineering practice of non-GPS wireless systems

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include: Problems that apply theoretical material to real-world applications In-depth coverage of the Interacting Multiple Model (IMM) estimator Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.