Handbook of Multisensor Data Fusion, 2nd Edition

Book description

Expanding the scope of the best-selling first edition, this volume introduces nine additional chapters and updates others to focus on developments in the fusion of data in a variety of applications from military to automotive to medical. It provides much-needed information on mathematical techniques and computer methods employed to perform fusion. The added material covers, among other areas, advances in Kalman filtering, fusion in a network centric environment, service-oriented architecture concepts, intelligent agents for improved decision making, off-the-shelf tools to assist development of data fusion systems, and current medical applications.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgment
  9. Editors
  10. Contributors
  11. 1 Multisensor Data Fusion
  12. 2 Data Fusion Perspectives and Its Role in Information Processing
  13. 3 Revisions to the JDL Data Fusion Model
  14. 4 Introduction to the Algorithmics of Data Association in Multiple-Target Tracking
  15. 5 Principles and Practice of Image and Spatial Data Fusion
  16. 6 Data Registration
  17. 7 Data Fusion Automation: A Top-Down Perspective
  18. 8 Overview of Distributed Decision Fusion
  19. 9 Introduction to Particle Filtering: The Next Stage in Tracking
  20. 10 Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Sensors
  21. 11 Introduction to the Combinatorics of Optimal and Approximate Data Association
  22. 12 Bayesian Approach to Multiple-Target Tracking
  23. 13 Data Association Using Multiple-Frame Assignments
  24. 14 General Decentralized Data Fusion with Covariance Intersection
  25. 15 Data Fusion in Nonlinear Systems
  26. 16 Random Set Theory for Multisource-Multitarget Information Fusion
  27. 17 Distributed Fusion Architectures, Algorithms, and Performance within a Network-Centric Architecture
  28. 18 Foundations of Situation and Threat Assessment
  29. 19 Introduction to Level 5 Fusion: The Role of the User
  30. 20 Perspectives on the Human Side of Data Fusion: Prospects for Improved Effectiveness Using Advanced Human–Computer Interfaces
  31. 21 Requirements Derivation for Data Fusion Systems
  32. 22 Systems Engineering Approach for Implementing Data Fusion Systems
  33. 23 Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques
  34. 24 Data Management Support to Tactical Data Fusion
  35. 25 Assessing the Performance of Multisensor Fusion Processes
  36. 26 Survey of COTS Software for Multisensor Data Fusion
  37. 27 Survey of Multisensor Data Fusion Systems
  38. 28 Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems
  39. 29 Adapting Data Fusion to Chemical and Biological Sensors
  40. 30 Fusion of Ground and Satellite Data via Army Battle Command System
  41. 31 Developing Information Fusion Methods for Combat Identification
  42. Index

Product information

  • Title: Handbook of Multisensor Data Fusion, 2nd Edition
  • Author(s): Martin Liggins II, David Hall, James Llinas
  • Release date: January 2017
  • Publisher(s): CRC Press
  • ISBN: 9781351835374