Sensor and Data Fusion
ISBN: 3902613521
Category: Study
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Description
Nada Milisavljevic, “Sensor and Data Fusion”
IN-TECH Publishing | 2009 | ISBN: 3902613521 | 490 pages | PDF | 20,8 MB
IN-TECH Publishing | 2009 | ISBN: 3902613521 | 490 pages | PDF | 20,8 MB
The goal of this book is to provide highlights of the current research in the field of data
fusion. The book consists of twenty-five research papers, addressing various problems in
areas such as: target tracking (including adaptive sensor management, data association and
road obstacle tracking), obstacle detection for the railway traffic, real-time traffic state
estimation, air traffic control, automotive applications (e.g., car safety and driver assistance),
robotic systems, smoke detectors and home security, industrial instrumentation and process
monitoring, remote sensing (vegetation indices, update of scarce high resolution images
with time series of coarser images, land cover classification), medical imaging, anomaly
detection and behavior prediction, environmental monitoring including forest fires and
electromagnetic pollution, change detection, (distributed, wireless) sensor networks, etc. The
list of possible applications is, actually, large, since most of the methodologies presented in
the book can be adapted easily to a variety of problems and situations. The techniques
involved cover a wide range of classical or novel methods, from different Bayesian-based
approaches via Dempster-Shafer evidence theory and fuzzy logic to artificial neural
networks and multi-agent based fusion methods. Depending mainly on the technique,
different strategies for including expert knowledge and other collateral sources of
information in the fusion process are also investigated.
Altogether, the book aims to provide a valuable source of up-to-date data fusion
methods, systems, applications and tools. As such, it may be useful to researchers,
engineers, computer scientists, as well as to undergraduate and graduate students who are
interested in the latest developments in the data fusion field.
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