Sensor Data Fusion for Active Safety Systems
| Autor: | Jorge Sans Sangorrin, Jan Sparbert, Oliver Schwindt, Wolfgang Branz, Ulrike Ahlrichs |
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| Rok vydání: | 2010 |
| Předmět: |
Engineering
business.industry Reliability (computer networking) Control (management) Sensor fusion Computer security computer.software_genre Multiple sensors Control and Systems Engineering Order (business) Automotive Engineering Systems engineering In vehicle Product (category theory) Electrical and Electronic Engineering Safety Risk Reliability and Quality business computer Active safety systems |
| Zdroj: | SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 3:154-161 |
| ISSN: | 1946-4622 |
| DOI: | 10.4271/2010-01-2332 |
| Popis: | Active safety systems will have a great impact in the next generation of vehicles. This is partly originated by the increasing consumer's interest for safety and partly by new traffic safety laws. Control actions in the vehicle are based on an extensive environment model which contains information about relevant objects in vehicle surroundings. Sensor data fusion integrates measurements from different surround sensors into this environment model. In order to avoid system malfunctions, high reliability in the interpretation of the situation, and therefore in the environment model, is essential. Hence, the main idea of data fusion is to make use of the advantages of using multiple sensors and different technologies in order to fulfill these requirements, which are especially high due to autonomous interventions in vehicle dynamics (e. g. automatic emergency braking). The technical challenge in the development of a serial product relies in the implementation with given sensors, as well as in the risk assessment of the system. |
| Databáze: | OpenAIRE |
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