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Sensor Fusion and its Applications
Edited by Ciza Thomas, ISBN 978-953-307-101-5, Hard cover, 488 pages, Publisher: Sciyo, Published: August 16, 2010 under CC BY-NC-SA 3.0 license, in subject Computer Graphics
DOI: 10.5772/3302
This book aims to explore the latest practices and research works in the area of sensor fusion. The book intends to provide a collection of novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. This book is a unique, comprehensive, and up-to-date resource for sensor fusion systems designers. This book is appropriate for use as an upper division undergraduate or graduate level text book. It should also be of interest to researchers, who need to process and interpret the sensor data in most scientific and engineering fields. The initial chapters in this book provide a general overview of sensor fusion. The later chapters focus mostly on the applications of sensor fusion. Much of this work has been published in refereed journals and conference proceedings and these papers have been modified and edited for content and style. With contributions from the world's leading fusion researchers and academicians, this book has 22 chapters covering the fundamental theory and cutting-edge developments that are driving this field.
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Book contents
- Chapter 1State Optimal Estimation for Nonstandard Multi-Sensor Information Fusion System
- Chapter 2Air Traffic Trajectories Segmentation Based on Time-Series Sensor Data
- Chapter 3Distributed Compressed Sensing of Sensor Data
- Chapter 4Adaptive Kalman Filter for Navigation Sensor Fusion
- Chapter 5Fusion of Images Recorded with Variable Illumination
- Chapter 6Camera and Laser Robust Integration in Engineering and Architecture Applications
- Chapter 7Spatial Voting with Data Modeling
- Chapter 8Hidden Markov Model as a Framework for Situational Awareness
- Chapter 9Multisensorial Active Perception for Indoor Environment Modeling
- Chapter 10Mathematical Basis of Sensor Fusion in Intrusion Detection Systems
- Chapter 11Sensor Fusion for Position Estimation in Networked Systems
- Chapter 12M2SIR: A Multimodal Sequential Importance Resampling Algorithm for Particle Filters
- Chapter 13On Passive Emitter Tracking in Sensor Networks
- Chapter 14Fuzzy-Pattern-Classifier Based Sensor Fusion for Machine Conditioning
- Chapter 15Corner Feature Extraction: Techniques for Landmark Based Navigation Systems
- Chapter 16Sensor Data Fusion for Road Obstacle Detection
- Chapter 17Biometrics Sensor Fusion
- Chapter 18Fusion of Odometry and Visual Datas to Localization a Mobile Robot Using Extended Kalman Filter
- Chapter 19Probabilistic Mapping by Fusion of Range-Finders Sensors and Odometry
- Chapter 20Sensor Fusion for Electromagnetic Stress Measurement and Material Characterisation
- Chapter 21Iterative Multiscale Fusion and Night Vision Colorization of Multispectral Images
- Chapter 22Super-Resolution Reconstruction by Image Fusion and Application to Surveillance Videos Captured by Small Unmanned Aircraft Systems
