Data Fusion Applications Workshop Proceedings Brussels, November 25, 1992

Data fusion, the ability to combine data derived from several sources to provide a coherent, informative, and useful characterization of a situation,is a challenging task. There is no unified and proven solution which is applicable in all circumstances, but there are many plausible and useful approa...

Full description

Bibliographic Details
Other Authors: Pfleger, S. (Editor), Goncalves, J. (Editor), Vernon, D. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1993, 1993
Edition:1st ed. 1993
Series:Project 5345. DIMUS
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 03894nmm a2200397 u 4500
001 EB000677199
003 EBX01000000000000000530281
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9783642849909 
100 1 |a Pfleger, S.  |e [editor] 
245 0 0 |a Data Fusion Applications  |h Elektronische Ressource  |b Workshop Proceedings Brussels, November 25, 1992  |c edited by S. Pfleger, J. Goncalves, D. Vernon 
250 |a 1st ed. 1993 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 1993, 1993 
300 |a X, 266 p. 68 illus  |b online resource 
505 0 |a Combining Two Imaging Modalities for Neuroradiological Diagnosis: 3D Representation of Cerebral Blood Vessels -- Hybrid Inference Components for Monitoring of Artificial Respiration -- Information Fusion in Monitoring Applications using the Category Model -- A Flexible Real-Time System for Vessel Traffic Control and Monitoring -- ESPRIT Project AZZURRO: Data Fusion for Marine Protection -- ESPRIT Project DIMUS: Data Integration in Multisensor Systems -- A Reflex-Based Approach to Fusion of Visual Data -- Sensor Fusion in a Peg-In-Hole Operation with a Fuzzy Control Approach -- Fuzzy Logic Techniques for Sensor Fusion in Real-Time Expert Systems -- Task-Directed Sensor-Planning -- Incremental Map-making in Indoor Environments -- Image Segmentation Improvement with a 3-D Microwave Radar -- A Vectorial Definition of Conceptual Distance for Prototype Acquisition and Refinement -- Distributed Knowledge-based Systems for Integration of Image Processing Modules -- Spatial Fusion of Multisensor Visual Information for Crowding Evaluation -- Robust Multisensor Fusion in Underground Stations -- On Tracking Edges -- Force and Position Sensing Resistors: An Emerging Technology -- Fusing Two Views using Object Motion -- Mobile Robotics for the Surveillance of Fissile Materials Storage Areas: Sensors and Data Fusion -- Data Fusion for Environmental Monitoring -- Concluding Remarks: Advanced European Research on Data Fusion -- Contributors 
653 |a Input/Output and Data Communications 
653 |a Software engineering 
653 |a Software Engineering/Programming and Operating Systems 
653 |a Cryptology 
653 |a Computers 
653 |a Data encryption (Computer science) 
653 |a Theory of Computation 
653 |a Electronics and Microelectronics, Instrumentation 
653 |a Electronics 
653 |a Input-output equipment (Computers) 
653 |a Microelectronics 
700 1 |a Goncalves, J.  |e [editor] 
700 1 |a Vernon, D.  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
490 0 |a Project 5345. DIMUS 
856 4 0 |u https://doi.org/10.1007/978-3-642-84990-9?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 004.0151 
520 |a Data fusion, the ability to combine data derived from several sources to provide a coherent, informative, and useful characterization of a situation,is a challenging task. There is no unified and proven solution which is applicable in all circumstances, but there are many plausible and useful approaches which can be and are used to solve particular applications. This volume presents the proceedings of the workshop Data Fusion Applications hosted in Brussels by the 1992 ESPRIT Conference and Exhibition. It contains 22 papers from 69 experts,who present advanced research results on data fusion together with practicalsolutions to multisensor data fusion in a wide variety of applications: real-time expert systems, robotics, medical diagnosis and patient surveillance, monitoring and control, marine protection, surveillance and safety in public transportation systems, image processing and interpretation, and environmental monitoring. The research forms part of the ESPRIT project DIMUS (Data Integration in Multisensor Systems)