Sensor and Data Fusion
eBook - PDF

Sensor and Data Fusion

  1. 438 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Sensor and Data Fusion

Book details
Table of contents
Citations

About This Book

Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sources/sensors, resulting in ameliorated overall system performance (improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand) with respect to separate sensors/sources. Different data fusion methods have been developed in order to optimize the overall system output in a variety of applications for which data fusion might be useful: security (humanitarian, military), medical diagnosis, environmental monitoring, remote sensing, robotics, etc.

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Yes, you can access Sensor and Data Fusion by Nada Milisavljevic in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2009
ISBN
9789535158394
Topic
Computer Science
Subtopic
Computer Networking
Index
Computer Science

Table of contents

  1. Sensor and Data Fusion
  2. Contents
  3. Preface
  4. 1. Advanced Sensor and Dynamics Models with an Application to Sensor Management
  5. 2. Target Data Association Using a Fuzzy-Logic Based Approach
  6. 3. Data Fusion Performance Evaluation for Dissimilar Sensors: Application to Road Obstacle Tracking
  7. 4. IR Barrier Data Integration for Obstacle Detection
  8. 5. A Model of Federated Evidence Fusion for Real-Time Traffic State Estimation
  9. 6. Multi Sensor Data Fusion Architectures for Air Traffic Control Applications
  10. 7. Sensor Data Fusion in Automotive Applications
  11. 8. Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems
  12. 9. Trajectory Generation and Object Tracking of Mobile Robot Using Multiple Image Fusion
  13. 10. Multisensory Data Fusion for Ubiquitous Robotics Services
  14. 11. Design of an Intelligent Housing System Using Sensor Data Fusion Approaches
  15. 12. Model-based Data Fusion in Industrial Process Instrumentation
  16. 13. Multi-Sensor Data Fusion in Presence of Uncertainty and Inconsistency in Data
  17. 14. Updating Scarce High Resolution Images with Time Series of Coarser Images: a Bayesian Data Fusion Solution
  18. 15. Multi-Sensor & Temporal Data Fusion for Cloud-Free Vegetation Index Composites
  19. 16. Three Strategies for Fusion of Land Cover Classification Results of Polarimetric SAR Data
  20. 17. Multilevel Information Fusion: A Mixed Fuzzy Logic/Geometrical Approach with Applications in Brain Image Processing
  21. 18. Anomaly Detection & Behavior Prediction: Higher-Level Fusion Based on Computational Neuroscientific Principles
  22. 19. A Biologically Based Framework for Distributed Sensory Fusion and Data Processing
  23. 20. Agent Based Sensor and Data Fusion in Forest Fire Observer
  24. 21. A Sensor Data Fusion Procedure for Environmental Monitoring Applications by a Configurable Network of Smart Web-Sensors
  25. 22. Monitoring Changes in Operational Scenarios via Data Fusion in Sensor Networks
  26. 23. Elements of Sequential Detection with Applications to Sensor Networks
  27. 24. Parameter Estimation Over Noisy Communication Channels in Distributed Sensor Networks
  28. 25. Monte Carlo Methods for Node Self-Localization and Nonlinear Target Tracking in Wireless Sensor Networks