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Handbook of Multisensor Data Fusion : Theory and Practice.

Author: Martin E Liggins
Publisher: Hoboken : Taylor & Francis Ltd., 2008.
Series: Electrical Engineering & Applied Signal Processing Series 22.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
Focuses on the developments in the fusion of data in a variety of applications from military to automotive to medical. This book provides information on mathematical techniques and computer methods employed to perform fusion. It also covers advances in Kalman filtering, and fusion in a network centric environment.
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin E Liggins
ISBN: 9781420053098 1420053094
OCLC Number: 437224182
Description: 1 online resource (872 pages).
Contents: Front cover; Contents; Preface; Acknowledgment; Editors; Contributors; Chapter 1. Multisensor Data Fusion; Chapter 2. Data Fusion Perspectives and Its Role in Information Processing; Chapter 3. Revisions to the JDL Data Fusion Model; Chapter 4. Introduction to the Algorithmics of Data Association in Multiple-Target Tracking; Chapter 5. Principles and Practice of Image and Spatial Data Fusion*; Chapter 6. Data Registration; Chapter 7. Data Fusion Automation: A Top-Down Perspective; Chapter 8. Overview of Distributed Decision Fusion. Chapter 9. Introductio to Particle Filtering: The Next Stage in TrackingChapter 10. Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Sensors; Chapter 11. Introduction to the Combinatorics of Optimal and Approximate Data Association; Chapter 12. Bayesian Approach to Multiple-Target Tracking*; Chapter 13. Data Association Using Multiple-Frame Assignments; Chapter 14. General Decentralized Data Fusion with Covarian.
Series Title: Electrical Engineering & Applied Signal Processing Series 22.
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Abstract:

Focuses on the developments in the fusion of data in a variety of applications from military to automotive to medical. This book provides information on mathematical techniques and computer methods employed to perform fusion. It also covers advances in Kalman filtering, and fusion in a network centric environment.

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