Sensor Selection for Driving State Recognition

Driver activity recognition in the car cockpit is a necessary component for intelligent driver assistance systems. Since this has to be based on the sensor data stream available from the vehicle, an important question is what sensors are necessary and for which driver activities. We present results of a large-scale sensor selection study with naturalistic driving data looking at driving maneuver classification using ensemble methods.

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