Multisensor Fusion and Integration for Intelligent Systems: An Edition of the Selected Papers from the IEEE International Conference on Multisensor . (Lecture Notes in Electrical Engineering, 35) - hardcover

EAN (ISBN-13): 9783540898580
ISBN (ISBN-10): 3540898581
Hardcover
Paperback
Publishing year: 2009
Publisher: Springer Berlin Heidelberg
479 Pages
Weight: 0,900 kg
Language: eng/Englisch

Book in our database since 2008-04-29T07:25:38+01:00 (London)
Detail page last modified on 2023-10-29T05:23:11+00:00 (London)
ISBN/EAN: 9783540898580

ISBN - alternate spelling:
3-540-89858-1, 978-3-540-89858-0
Alternate spelling and related search-keywords:
Book author: hans hahn, soon lee, han, leo hahn
Book title: fusion, system, ieee, paper engineering, selected engineering papers, selected papers from the, electrical engineering, intelligent, engineering systems integration

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Information from Publisher

Author: Lee Suk-han; Hanseok Ko; Hernsoo Hahn
Title: Lecture Notes in Electrical Engineering; 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
Publisher: Springer; Springer Berlin
479 Pages
Publishing year: 2009-05-28
Berlin; Heidelberg; DE
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 479 p.

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; RoboCup; algorithms; automation; autonom; communication; human-computer interaction (HCI); navigation; programming; robot; robotics; speech recognition; Control, Robotics, Automation; Electronics and Microelectronics, Instrumentation; Artificial Intelligence; Measurement Science and Instrumentation; Elektronik; Künstliche Intelligenz; Wissenschaftliche Standards, Normung usw. BC

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 inIndoor 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.
Recent research in Multisensor Fusion and Integration for Intelligent Systems Includes a set of selected papers from the International Conference on of Multisensor Fusion and Integration for Intelligent Systems (MFI 2008) to be held in Seoul, Korea, August 20-22, 2008