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  • © 2014

Tracking and Sensor Data Fusion

Methodological Framework and Selected Applications

Authors:

  • Provides a self-contained, unified introduction to Bayesian sensor data fusion
  • Covers comprehensively methodological aspects not covered by other textbooks
  • Discusses advanced application examples from different areas not covered by other textbooks
  • A guide to the latest research literature for graduate students, researchers, and practitioners
  • Includes supplementary material: sn.pub/extras

Part of the book series: Mathematical Engineering (MATHENGIN)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
  2. Sensor Data Fusion: Methodological Framework

    1. Front Matter

      Pages 29-29
    2. Characterizing Objects and Sensors

      • Wolfgang Koch
      Pages 31-52
    3. Bayesian Knowledge Propagation

      • Wolfgang Koch
      Pages 53-82
    4. Sequential Track Extraction

      • Wolfgang Koch
      Pages 83-88
    5. On Recursive Batch Processing

      • Wolfgang Koch
      Pages 89-105
    6. Aspects of Track-to-Track Fusion

      • Wolfgang Koch
      Pages 107-123
  3. Sensor Data Fusion: Selected Applications

    1. Front Matter

      Pages 125-125
    2. Integration of Advanced Sensor Properties

      • Wolfgang Koch
      Pages 127-156
    3. Integration of Advanced Object Properties

      • Wolfgang Koch
      Pages 157-185
    4. Integration of Topographical Information

      • Wolfgang Koch
      Pages 187-210
    5. Feed-Back to Acquisition: Sensor Management

      • Wolfgang Koch
      Pages 211-235
  4. Back Matter

    Pages 237-253

About this book

Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost.

This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing the prerequisites for discussing selected applications in Part II of the book. The presentation mirrors the author's views on the subject and emphasizes his own contributions to the development of particular aspects.

With some delay, Sensor Data Fusion is likely to develop along lines similar to the evolution of another modern key technology whose origin is in the military domain, the Internet. It is the author's firm conviction that until now, scientists and engineers have only scratched the surface of the vast range of opportunities for research, engineering, and product development that still waits to be explored: the Internet of the Sensors.

Authors and Affiliations

  • SDF, Fraunhofer FKIE, Wachtberg, Germany

    Wolfgang Koch

About the author

PD Dr. rer. nat. Wolfgang Koch studied Physics and Mathematics at RWTH Aachen. He is head of dept. “Sensor Data and Information Fusion” at Fraunhofer FKIE and published handbook chapters and numerous journal/conference articles. For the IEEE Trans. on AES, he is Associate Editor-in-Chief and Technical Editor. Moreover, he is Member of the Board of Directors of the International Society of Information Fusion. At Bonn University he holds a habilitation degree on “Applied Computer Science”.

Bibliographic Information

Buy it now

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access