Sensor Fusion and its Applications

Ciza Thomas

• Publisher: IntechOpen
• Year: 2010
• Print ISBN:
  9789533071015
• eBook ISBN:
  9789535159483
• Topic: Computer Science
• Subtopic: Optical Data Processing
• Index: Computer Science

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.

Table of contents

• Sensor Fusion and its Applications
• Contents
• Preface
• Chapter 1 - State Optimal Estimation for Nonstandard Multi-sensor Information Fusion System
• Chapter 2 - Air traffic trajectories segmentation based on time-series sensor data
• Chapter 3 - Distributed Compressed Sensing of Sensor Data
• Chapter 4 - Adaptive Kalman Filter for Navigation Sensor Fusion
• Chapter 5 Fusion of Images Recordedwith Variable Illumination
• Chapter 6 - Camera and laser robust integration in engineering and architecture applications
• Chapter 7 - Spatial Voting With Data Modeling
• Chapter 8 - Hidden Markov Model as a Framework for Situational Awareness
• Chapter 9 - Multi-sensorial Active Perception for Indoor Environment Modeling
• Chapter 10 - Mathematical Basis of Sensor Fusion in Intrusion Detection Systems
• Chapter 11 - Sensor Fusion for Position Estimation in Networked Systems
• Chapter 12 - M2SIR: A Multi Modal Sequential Importance Resampling Algorithm for Particle Filters
• Chapter 13 - On passive emitter tracking in sensor networks
• Chapter 14 - Fuzzy-Pattern-Classifier Based Sensor Fusion for Machine Conditioning
• Chapter 15 - Feature extraction: techniques for landmark based navigation system
• Chapter 16 - Sensor Data Fusion for Road Obstacle Detection: A Validation Framework
• Chapter 17 - Biometrics Sensor Fusion
• Chapter 18 - Fusion of Odometry and Visual Datas to Localization a Mobile Robot
• Chapter 19 - Probabilistic Mapping by Fusion of Range-Finders Sensors and Odometry
• Chapter 20 - Sensor fusion for electromagnetic stress measurement and material characterisation
• Chapter 21 - Iterative Multiscale Fusion and Night Vision Colorization of Multispectral Images
• Chapter 22 - Super-Resolution Reconstruction by Image Fusion and Application to Surveillance Videos Captured by Small Unmanned Aircraft Systems