Title :
Sensor Selection for Driving State Recognition
Author :
Torkkola, Kari ; Gardner, Mike ; Schreiner, Chris ; Zhang, Keshu ; Leivian, Bob ; Summers, John
Author_Institution :
Motorola, Tempe
Abstract :
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.
Keywords :
distributed sensors; driver information systems; pattern classification; car cockpit; driver activity recognition; driving maneuver classification; driving state recognition; ensemble methods; intelligent driver assistance systems; large-scale sensor selection; Alarm systems; Context awareness; Context modeling; Intelligent sensors; Intelligent systems; Large-scale systems; Machine learning; Sensor systems; Speech; Vehicle driving;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.247128
