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In this paper we analyze the sensor and fusion schedules of a time-triggered, Kalman filter based, multi-sensor fusion system. The fusion system is used as an environmental perception platform for advanced driver assistance systems and delivers its service to a safety related application. As the application demands cyclic updates with bounded accuracy, the influence of the sensor and fusion schedules...
In this paper, we optimize a time-triggered, Kalman filter based, multi-sensor fusion system, used as an environmental perception platform for advanced driver assistance systems while satisfying constraints that are typical of a safety-related application. We argue that the overall system including effects from the sensor, bus, and fusion schedules as well as the treatment of measurements must be...
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