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Sensor and Data Fusion
Edited by Nada Milisavljevic, ISBN 978-3-902613-52-3, Hard cover, 436 pages, Publisher: I-Tech Education and Publishing, Published: February 01, 2009 under CC BY-NC-SA 3.0 license, in subject Electrical and Electronic Engineering
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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Book contents
- Chapter 1Advanced Sensor and Dynamics Models with an Application to Sensor Management
- Chapter 2Target Data Association Using a Fuzzy-Logic Based Approach
- Chapter 3Data Fusion Performance Evaluation for Dissimilar Sensors: Application to Road Obstacle Tracking
- Chapter 4IR Barrier Data Integration for Obstacle Detection
- Chapter 5A Model of Federated Evidence Fusion for Real-Time Traffic State Estimation
- Chapter 6Multi Sensor Data Fusion Architectures for Air Traffic Control Applications
- Chapter 7Sensor Data Fusion in Automotive Applications
- Chapter 8Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems
- Chapter 9Trajectory Generation and Object Tracking of Mobile Robot Using Multiple Image Fusion
- Chapter 10Multisensory Data Fusion for Ubiquitous Robotics Services
- Chapter 11Design of an Intelligent Housing System Using Sensor Data Fusion Approaches
- Chapter 12Model-based Data Fusion in Industrial Process Instrumentation
- Chapter 13Multi-Sensor Data Fusion in Presence of Uncertainty and Inconsistency in Data
- Chapter 14Updating Scarce High Resolution Images with Time Series of Coarser Images: a Bayesian Data Fusion Solution
- Chapter 15Multi-Sensor & Temporal Data Fusion for Cloud-Free Vegetation Index Composites
- Chapter 16Three Strategies for Fusion of Land Cover Classification Results of Polarimetric SAR Data
- Chapter 17Multilevel Information Fusion: A Mixed Fuzzy Logic/Geometrical Approach with Applications in Brain Image Processing
- Chapter 18Anomaly Detection & Behavior Prediction: Higher-Level Fusion Based on Computational Neuroscientific Principles
- Chapter 19A Biologically Based Framework for Distributed Sensory Fusion and Data Processing
- Chapter 20Agent Based Sensor and Data Fusion in Forest Fire Observer
- Chapter 21A Sensor Data Fusion Procedure for Environmental Monitoring Applications by a Configurable Network of Smart Web-Sensors
- Chapter 22Monitoring Changes in Operational Scenarios via Data Fusion in Sensor Networks
- Chapter 23Elements of Sequential Detection with Applications to Sensor Networks
- Chapter 24Parameter Estimation Over Noisy Communication Channels in Distributed Sensor Networks
- Chapter 25Monte Carlo Methods for Node Self-Localization and Nonlinear Target Tracking in Wireless Sensor Networks
