Modern driver assistance and safety systems need a reliable and precise description of the environment. Fusing the measurement data of two or more sensors can improve the performance of the perception system. A generic fusion system which is independent of the attached sensors could be reused in multiple fusion systems and sensor combinations. This could be very helpful because sensor data fusion is a demanding and complex task. In this contribution, we present the algorithmic basics for a generic fusion system, detailed ways on how to model sensor specific properties and which benefits we can achieve by using these models.
Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems
2010 IEEE Intelligent Vehicles Symposium ; 760-765
01.06.2010
825794 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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