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Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more 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. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).
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
This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.
Scientists and engineers conducting research for military applicationsshare their findings on the semiautomation of the functionalities ofcognition, comprehension, and projection so that machines can replaceor enhance human awareness of a situation. A first volume surveysvarious options for practitioners, and this second volume identifiesoptions that have been chosen by the Technical Cooperation Programrepresentatives from different countries. It covers information fusionconcepts, distributed information fusion and management, human-systeminteraction, scenario-based design, and measures of effectiveness. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com).
Aviation remains one of the most active and challenging domains for human factors and applied psychology. Since 1981, the biennial International Symposium on Aviation Psychology (ISAP) has been convened for the purposes of (a) presenting the latest research on human performance problems and opportunities within aviation systems, (b) envisioning design solutions that best utilize human capabilities for creating safe and efficient aviation systems, and (c) bringing together scientists, research sponsors, and operators in an effort to bridge the gap between research and application. Though rooted in the presentations of the 17th ISAP, held in 2013 in Dayton, Ohio, Advances in Aviation Psychology is not simply a collection of selected proceeding papers. Based upon the potential impact on emerging trends, current debates or enduring issues present in their work, select authors were invited to expand on their work following the benefit of interactions at the symposium. The invited authors include the featured keynote and plenary speakers who are all leading scientists and prominent researchers that were selected to participate at the symposium. These contributions are supplemented by additional contributors whose work best reflects significant developments in aviation psychology. Consequently the volume includes visions for the next generation of air management and air traffic control, the integration of unmanned (i.e. remotely piloted vehicles) into operational air spaces, and the use of advanced information technologies (e.g. synthetic task environments) for research and training. This book is the first in a series of volumes to be published in conjunction with each subsequent ISAP. The aim of each volume is not only to report the latest findings in aviation psychology but also to suggest new directions for advancing the field.
This is the fifth edited volume of refereed contributions, from an international group of researchers and specialists. Volumes Five and Six comprise the edited proceedings of the third international conference on Engineering Psychology Cognitive Ergonomics, organized by Cranfield College of Aeronautics, Edinburgh, Scotland in October 2000. Volume Five concentrates on applications in the areas of transportation, medical ergonomics and training. Topics addressed include: the design of control and display systems; human perception, error, reliability, information processing, and performance modelling; mental workload; stress; automation; situation awareness; skill acquisition and retention; techniques for evaluating human-machine systems and the physiological correlates of performance. Both volumes will be useful to applied and occupational psychologists, instructors, instructional developers, equipment and system designers, researchers, government regulatory personnel, human resource managers and selection specialists; also to senior pilots, air traffic control and aviation and ground transportation operations management.
This three volume set provides the complete proceedings of the Ninth International Conference on Human-Computer Interaction held August, 2001 in New Orleans. A total of 2,738 individuals from industry, academia, research institutes, and governmental agencies from 37 countries submitted their work for presentation at the conference. The papers address the latest research and application in the human aspects of design and use of computing systems. Those accepted for presentation thoroughly cover the entire field of human-computer interaction, including the cognitive, social, ergonomic, and health aspects of work with computers. The papers also address major advances in knowledge and effective use of computers in a variety of diversified application areas, including offices, financial institutions, manufacturing, electronic publishing, construction, and health care.
In the process of information fusion technology, masses of live information are instantaneously integrated to create a coherent and precise picture of a rapidly evolving situation. This book brings together an international panel of leading experts that gives a fresh and cohesive perspective on this technologys models, methods, mathematics, and computer systems.
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.