A new concept for a cooperative fusion platform
| Autor: | Susana Alcalde Bagüés, Michael Fiegert, Tim Tiedemann, Feihu Zhang, Wendelin Feiten, Dhiraj Gulati |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Interpretation (logic) Basis (linear algebra) Computer science Distributed computing 010401 analytical chemistry Control (management) 02 engineering and technology computer.software_genre Sensor fusion Soft sensor 01 natural sciences ddc 0104 chemical sciences Data modeling 020901 industrial engineering & automation Intelligent sensor Data mining automobiles road accidents road safety road traffic control sensor fusion accidents car cooperative fusion platform sensor data fusion systems traffic control Automobiles Data integration Data models Intelligent sensors Sensor systems computer |
| Zdroj: | MFI |
| DOI: | 10.1109/mfi.2016.7849478 |
| Popis: | The increasing traffic and the increasing number of sensors both in cars and in the infrastructure pose new challenges but also create new opportunities for traffic control. If the sensor data in various states of interpretation and aggregation could be shared and reused, it would be possible to minimize accidents and improve the traffic situation. In this paper we describe an approach to automatically configure sensor data fusion systems across the boundaries of independent subsystems, where information on all levels can be exchanged. The basis for this is a formal description of all required meta-information that enables the reasoning for automatic configuration. |
| Databáze: | OpenAIRE |
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