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Abstract and Manuscript Management System - Abstract Detail |
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| Speaker: | Karin Tischler |
| Title: | A Bayesian Approach to Information Fusion in Sensor Networks |
| Topic Group: | Multi-Sensor Metrology and Sensor information fusion |
| E-mail: | tischler@mrt.uka.de |
| Co-Authors: | Soeren Kammel, Fernando Puente León, Klaus-Dieter Sommer |
| Abstract: | Every measurement task can be interpreted as a parameter estimation problem aiming at both the value of the measurand and the uncertainty associated with it. The measurement process provides one or more values or signals that contain information about the measurand. To optimally exploit the knowledge on the measurand, this information should be combined with the available additional information about the technical and external factors influencing the measurement result. Integrating additional sensors or information sources and performing a fusion of all information available can further enhance this inference process. The paper presents a Bayesian approach to information fusion in multi-sensor systems. This is used e.g. in the application of an inter-vehicle sensor network. The fusion of the different environment detections to a joint description is necessary for a collaborative perception and cooperative decisions. |
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