The methods provided by sensor and data fusion are important tools for fusing large sets of mutually complementary data end efficiently exploiting the sensor systems available.
Book Description
A challenging exploitation technology at the common interface between sensors, command & control systems, and the human decision makers involved, this technology plays a key role in applications with time-critical situations or in situations with a high decision risk, where human deficiencies are to be compensated by automatically or interactively working fusion techniques.
Table of Contents
- Advanced Sensor and Dynamics Models with an Application to Sensor Management
- Target Data Association Using a Fuzzy-Logic Based Approach
- Data Fusion Performance Evaluation for Dissimilar Sensors: Application to Road Obstacle Tracking
- IR Barrier Data Integration for Obstacle Detection
- A Model of Federated Evidence Fusion for Real-Time Traffic State Estimation
- Multi Sensor Data Fusion Architectures for Air Traffic Control Applications
- Sensor Data Fusion in Automotive Applications
- Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems
- Trajectory Generation and Object Tracking of Mobile Robot Using Multiple Image Fusion
- Multisensory Data Fusion for Ubiquitous Robotics Services
- Design of an Intelligent Housing System Using Sensor Data Fusion Approaches
- Model-based Data Fusion in Industrial Process Instrumentation
- Multi-Sensor Data Fusion in Presence of Uncertainty and Inconsistency in Data
- Updating Scarce High Resolution Images with Time Series of Coarser Images: a Bayesian Data Fusion Solution
- Multi-Sensor & Temporal Data Fusion for Cloud-Free Vegetation Index Composites
- Three Strategies for Fusion of Land Cover Classification Results of Polarimetric SAR Data
- Multilevel Information Fusion: A Mixed Fuzzy Logic/Geometrical Approach with Applications in Brain Image Processing
- Anomaly Detection & Behavior Prediction: Higher-Level Fusion Based on Computational Neuroscientific Principles
- A Biologically Based Framework for Distributed Sensory Fusion and Data Processing
- Agent Based Sensor and Data Fusion in Forest Fire Observer
- A Sensor Data Fusion Procedure for Environmental Monitoring Applications by a Configurable Network of Smart Web-Sensors
- Monitoring Changes in Operational Scenarios via Data Fusion in Sensor Networks
- Elements of Sequential Detection with Applications to Sensor Networks
- Parameter Estimation Over Noisy Communication Channels in Distributed Sensor Networks
- Monte Carlo Methods for Node Self-Localization and Nonlinear Target Tracking in Wireless Sensor Networks
Download Free PDF / Read Online
Author(s): Nada Milisavljevic
Publisher: InTech
Format(s): PDF, HTML
File size: 62.50 MB
Number of pages: 436
Link: Download or read online.
Publisher: InTech
Format(s): PDF, HTML
File size: 62.50 MB
Number of pages: 436
Link: Download or read online.