Multisensor Fusion and Integration for Intelligent Systems An Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2008 / edited by Lee Suk-han, Hanseok Ko, Hernsoo Hahn.

This volume aims at providing engineers, researchers, educators, and advanced students in the field of Multisensor Fusion and Integration for Intelligent Systems with the recent progress in theory and applications. This was done by selecting high quality papers with appropriate themes from the IEEE...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Suk-han, Lee (Editor), Ko, Hanseok (Editor), Hahn, Hernsoo (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:	1st ed. 2009.
Series:	Lecture Notes in Electrical Engineering, 35 Springer eBook Collection.
Subjects:	Robotics. Automation. Control engineering. Mechatronics. Electronics. Microelectronics. Artificial intelligence. Physical measurements. Measurement . Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

Theories in data and information fusion
Performance Analysis of GPS/INS Integrated System by Using a Non-Linear Mathematical Model
Object-Level Fusion and Confidence Management in a Multi-Sensor Pedestrian Tracking System
Effective Lip Localization and Tracking for Achieving Multimodal Speech Recognition
Optimal View Selection and Event Retrieval in Multi-Camera Office Environment
Fusion of Multichannel Biosignals Towards Automatic Emotion Recognition
A Comparison of Track-to-Track Fusion Algorithms for Automotive Sensor Fusion
Effective and Efficient Communication of Information
Most Probable Data Association with Distance and Amplitude Information for Target Tracking in Clutter
Simultaneous Multi-Information Fusion and Parameter Estimation for Robust 3-D Indoor Positioning Systems
Efficient Multi-Target Tracking with Sub-Event IMM-JPDA and One-Point Prime Initialization
Enabling Navigation of MAVs through Inertial, Vision, and Air Pressure Sensor Fusion
Multi-sensor fusion and integration in robotics and vision
Enhancement of Image Degraded by Fog Using Cost Function Based on Human Visual Model
Pedestrian Route Guidance by Projecting Moving Images
Recognizing Human Activities from Accelerometer and Physiological Sensors
The #x201C;Fast Clustering-Tracking#x201D; Algorithm in the Bayesian Occupancy Filter Framewok
Compliant Physical Interaction Based on External Vision-Force Control and Tactile-Force Combination
iTASC: A Tool for Multi-Sensor Integration in Robot Manipulation
Behavioral Programming with Hierarchy and Parallelism in the DARPA Urban Challenge and RoboCup
Simultaneous Estimation of Road Region and Ego-Motion with Multiple Road Models
Model-Based Recognition of 3D Objects using Intersecting Lines
Visual SLAM in Indoor Environments Using Autonomous Detection and Registration of Objects
People Detection using Double Layered Multiple Laser Range Finders by a Companion Robot
Applications to sensor networks and ubiquitous computing environments
Path-selection Control of a Power Line Inspection Robot Using Sensor Fusion
Intelligent Glasses: A Multimodal Interface for Data Communication to the Visually Impaired
Fourier Density Approximation for Belief Propagation in Wireless Sensor Networks
Passive Localization Methods Exploiting Models of Distributed Natural Phenomena
Study on Spectral Transmission Characteristics of the Reflected and Self-emitted Radiations through the Atmosphere
3D Reflectivity Reconstruction by Means of Spatially Distributed Kalman Filters
T-SLAM: Registering Topological and Geometric Maps for Robot Localization
Map Fusion Based on a Multi-Map SLAM Framework
Development of a Semi-Autonomous Vehicle Operable by the Visually Impaired
Process Diagnosis and Monitoring of Field Bus based Automation Systems using Self-Organizing Maps and Watershed Transformations.

Multisensor Fusion and Integration for Intelligent Systems An Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2008 / edited by Lee Suk-han, Hanseok Ko, Hernsoo Hahn.

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