Download or read book Multimodal Sensor Data Fusion Methods for Infrastructureless Head worn Interfaces written by Lukas Wöhle and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-robot collaboration is becoming increasingly important especially in the context of rehabilitation robotics where people use robots to regain autonomy. For this purpose, a variety of approaches to control these systems has been developed. A highly intuitive approach is head-motion based control, which enables precise mapping of 3D control commands onto a system via deliberate head movements. This thesis presents a system to ensure the necessary robustness and adaptivity for the control of a robotic system by means of head motion. For that purpose, a lightweight, infrastructureless sensor system was developed that can be worn on the head to fully control a robotic system in all degrees of freedom in Cartesian space. The system is modular in design and data fusion scheme to grant as much adaptivity as possible. The core of the sensor system consists of a Magnetic, Angular Rate, and Gravity (MARG) sensors, which are used to determine the orientation of an object in 3D space. The orientation computation is based on the numerical integration of angular rate measurements from a three-axis gyroscope. Unfortunately Micro-Electromechanical Systems (MEMS) gyroscopes are subject to noise terms that degrade the orientation estimation. To counteract this, MARG sensors are equipped with global reference measurement sensors: an accelerometer and magnetometer. The accelerometer is used to correct orientation in the plane perpendicular to gravity, while the magnetometer is used as an electronic compass to correct the remaining axis. This arrangement enables a globally referenced orientation computation. However, magnetometers are subject to interference, which can completely invalidate its use as a reference measurement. To increase robustness against such disturbances, a data fusion process has been developed which compensates short-term disturbances and allows for simple incorporation of additional references for error correction without further effort. On this basis, a novel approach was developed that uses the physiological coupling of a human's eyes and head rotation to support the MARG sensor's orientation determination during long-term magnetic field perturbations. Experimental data demonstrates that this method provides an error reduction of up to 50 percent. The usage of an eye tracker logically opens up the use of visual methods for orientation determination. Therefore, within this thesis an open-source visual Simultaneous Localization And Mapping (SLAM) for RGB-D cameras is integrated into the data fusion process to enable a robust calculation of the head pose in space. The data fusion process is designed to dynamically switch between magnetic, inertial, eye tracking-based and visual reference technologies to enable robust orientation estimation under various perturbations, e.g. gyroscope bias, magnetic disturbances and visual sensor data failure. The combination of these sensors and methods provides the capability, in addition to sensing head rotation only, of precise eye or head gaze vector control to perform accurate positioning of a robot's End Effector (EEF) in Cartesian space. The work is finalized with a functional verification of the system in a human-robot workplace, which indicates that the sensor system and methods enable a precise control mechanism for robot teleoperation.
Download or read book Multi Sensor Data Fusion written by H.B. Mitchell and published by Springer Science & Business Media. This book was released on 2007-07-13 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Download or read book Multi Sensor Data Fusion with MATLAB written by Jitendra R. Raol and published by CRC Press. This book was released on 2009-12-16 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly
Download or read book Multisensor Data Fusion written by Hassen Fourati and published by CRC Press. This book was released on 2017-12-19 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
Download or read book Handbook of Multisensor Data Fusion written by Martin Liggins II and published by CRC Press. This book was released on 2017-01-06 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.
Download or read book Resource Aware Data Fusion Algorithms for Wireless Sensor Networks written by Ahmed Abdelgawad and published by Springer Science & Business Media. This book was released on 2012-02-15 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative. Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed; Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines.
Download or read book Multisensor Fusion and Integration in the Wake of Big Data Deep Learning and Cyber Physical System written by Sukhan Lee and published by Springer. This book was released on 2018-07-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Download or read book Data Fusion Concepts and Ideas written by H B Mitchell and published by Springer. This book was released on 2012-02-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.
Download or read book Mathematical Techniques in Multisensor Data Fusion written by David Lee Hall and published by Artech House Radar Library (Ha. This book was released on 1992 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.
Download or read book Data Fusion for Situation Monitoring Incident Detection Alert and Response Management written by Elisa Shahbazian and published by IOS Press. This book was released on 2005 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Fusion is an interdisciplinary technology domain. This work focuses on the mature phase of data fusion, namely the detection and identification/classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications.
Download or read book Multisensor Data Fusion written by David Hall and published by CRC Press. This book was released on 2001-06-20 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut
Download or read book Architectures for Embedded Multimodal Sensor Data Fusion Systems in the Robotics written by Janis Schönefeld and published by . This book was released on 2014 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book New Data Fusion Algorithms for Distributed Multi Sensor Multi Target Environments written by Ashraf Mamdouh Abdel Aziz and published by . This book was released on 1999-09-01 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multisensor data fusion combines data from multiple sensor systems to achieve improved performance and provide more inferences than could be achieved using a single sensor system. One of the most important aspects of data fusion is data association. This dissertation develops new algorithms for data association, including measurement to track association, track to track association and track fusion, in distributed multisensor multitarget environment with overlapping sensor coverage. The performance of the proposed algorithms is compared to that of existing techniques. Computational complexity analysis is also presented. Numerical results based on Monte Carlo simulations and real data collected from the United States Coast Guard Vessel Traffic Services system are presented. The results show that the proposed algorithms reduce the computational complexity and achieve considerable performance improvement over those previously reported in the literature.
Download or read book Efficient Multi Source Data Fusion for Decentralized Sensor Networks written by and published by . This book was released on 2006 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly-scalable, Bayesian approach to the problem of performing multi-source data fusion and target tracking in decentralized sensor networks is presented. Previous applications of decentralized data fusion have generally been restricted to uni-modal/uni-source sensor networks using Gaussian based approaches, such as the Kalman or information filter. However, with recent interest to employ complex, multimodal/ multi-source sensors which potentially exhibit observation and/or process non-linearities along with non-Gaussian distributions, the need to develop a more generalized and scalable method of decentralized data fusion is required. The probabilistic approach featured in this work provides the ability to seamlessly integrate and efficiently fuse multi-source sensor data in the absence of any linearity and/or normality constraints. The proposed architecture is fully decentralized and provides a methodology that scales extremely well to any growth in the number of targets or region of coverage. This paper will illustrate that our multi-source data fusion architecture is capable of providing high-precision tracking performance in complex, non-linear/non-Gaussian operating environments. In addition, we will also show that our architecture provides an unprecedented scaling capability for decentralized sensor networks as compared to similar architectures which communicate information using particle data, Gaussian mixture models or Parzen density estimators.
Download or read book Sensor and Data Fusion for Intelligent Transportation Systems written by Lawrence A. Klein and published by . This book was released on 2019 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Energy Efficient Wireless Sensor Networks written by Vidushi Sharma and published by CRC Press. This book was released on 2017-07-28 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs). One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network applications.
Download or read book Industrial Sensors and Controls in Communication Networks written by Dong-Seong Kim and published by Springer. This book was released on 2018-12-11 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This informative text/reference presents a detailed review of the state of the art in industrial sensor and control networks. The book examines a broad range of applications, along with their design objectives and technical challenges. The coverage includes fieldbus technologies, wireless communication technologies, network architectures, and resource management and optimization for industrial networks. Discussions are also provided on industrial communication standards for both wired and wireless technologies, as well as for the Industrial Internet of Things (IIoT). Topics and features: describes the FlexRay, CAN, and Modbus fieldbus protocols for industrial control networks, as well as the MIL-STD-1553 standard; proposes a dual fieldbus approach, incorporating both CAN and ModBus fieldbus technologies, for a ship engine distributed control system; reviews a range of industrial wireless sensor network (IWSN) applications, from environmental sensing and condition monitoring, to process automation; examines the wireless networking performance, design requirements, and technical limitations of IWSN applications; presents a survey of IWSN commercial solutions and service providers, and summarizes the emerging trends in this area; discusses the latest technologies and open challenges in realizing the vision of the IIoT, highlighting various applications of the IIoT in industrial domains; introduces a logistics paradigm for adopting IIoT technology on the Physical Internet. This unique work will be of great value to all researchers involved in industrial sensor and control networks, wireless networking, and the Internet of Things.
