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