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
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...
Tallennettuna:
| Muut tekijät: | , , |
|---|---|
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| Sarja: | Lecture Notes in Electrical Engineering
35 |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multisensor Fusion and Integration for Intelligent Systems, Texte imprimé, 9783540898580 • Multisensor Fusion and Integration for Intelligent Systems, Texte imprimé, 9783642100574 • Multisensor Fusion and Integration for Intelligent Systems, Texte imprimé, 9783540898603 |
Sisällysluettelo:
- 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.