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A flexible framework for multisensor data fusion using data stream management technologies

Published: 22 March 2009 Publication History

Abstract

Many applications use sensors to capture an image of the real world, which is needed for automatic processes. E. g. future driver assistance systems will be based on dynamic information about the car's environment, the car's state and the driver's state. Since there exists no single sensor that can sense the required information, different sensors like radar, video and eye-tracker are used. Typically some provide redundant information about the same real world entity, while others measure different things. Thus, the fusion of information from different sensors is necessary to get a consistent image of the real world. In most sensor fusion systems the sensor configuration is known a priori and the fusion algorithms are adapted for these sensor configurations. Thus, changing a sensor fusion system to enable it to process sensor readings from another sensor configuration is hardly possible or completely impossible. Since in development processes of automotive applications different sensor equipment and environmental requirements exist and change frequently a new approach for adapting sensor fusion systems is necessary. Hence, in this work a framework for sensor fusion systems will be developed that allows a flexible adaptation of fusion mechanisms. Due to real-time requirements of automotive applications and the flexibility of query processing technologies, data stream management technology will be used to develop a flexible framework for multisensor data fusion.

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  • (2013)Monitoring mobile cyber-physical systems by means of a knowledge discovery cycleIEEE 7th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2013.6577715(1-12)Online publication date: May-2013
  • (2011)Ontology-based multimode information fusion method2011 IEEE International Conference on Cloud Computing and Intelligence Systems10.1109/CCIS.2011.6045031(55-59)Online publication date: Sep-2011
  • (2010)A survey and analysis of frameworks and framework issues for information fusion applicationsProceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I10.1007/978-3-642-13769-3_2(14-23)Online publication date: 23-Jun-2010

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cover image ACM Other conferences
EDBT/ICDT '09: Proceedings of the 2009 EDBT/ICDT Workshops
March 2009
218 pages
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Publication History

Published: 22 March 2009

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  1. data stream management
  2. sensor fusion

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EDBT/ICDT '09
EDBT/ICDT '09: EDBT/ICDT '09 joint conference
March 22, 2009
Saint-Petersburg, Russia

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View all
  • (2013)Monitoring mobile cyber-physical systems by means of a knowledge discovery cycleIEEE 7th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2013.6577715(1-12)Online publication date: May-2013
  • (2011)Ontology-based multimode information fusion method2011 IEEE International Conference on Cloud Computing and Intelligence Systems10.1109/CCIS.2011.6045031(55-59)Online publication date: Sep-2011
  • (2010)A survey and analysis of frameworks and framework issues for information fusion applicationsProceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I10.1007/978-3-642-13769-3_2(14-23)Online publication date: 23-Jun-2010

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