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 /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Suk-han, Lee. (Editor ), Ko, Hanseok. (Editor ), Hahn, Hernsoo. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Lecture Notes in Electrical Engineering, 35
Materias:
Acceso en línea:https://doi.org/10.1007/978-3-540-89859-7
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245 1 0 |a Multisensor Fusion and Integration for Intelligent Systems  |b An Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems 2008 /  |c edited by Lee Suk-han, Hanseok Ko, Hernsoo Hahn. 
250 |a 1st ed. 2009. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a XVI, 479 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Lecture Notes in Electrical Engineering,  |v 35 
505 0 |a 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. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Control engineering. 
650 0 |a Mechatronics. 
650 0 |a Electronics. 
650 0 |a Microelectronics. 
650 0 |a Artificial intelligence. 
650 0 |a Physical measurements. 
650 0 |a Measurement   . 
650 1 4 |a Robotics and Automation. 
650 2 4 |a Control, Robotics, Mechatronics. 
650 2 4 |a Electronics and Microelectronics, Instrumentation. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Measurement Science and Instrumentation. 
700 1 |a Suk-han, Lee.  |e editor. 
700 1 |a Ko, Hanseok.  |e editor. 
700 1 |a Hahn, Hernsoo.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
856 4 0 |u https://doi.org/10.1007/978-3-540-89859-7