DocumentCode :
3465285
Title :
Vehicle occupancy monitoring with optical range-sensors
Author :
Fritzsche, Martin ; Prestele, Christian ; Becker, Guido ; Castillo-Franco, Marta ; Mirbach, Bruno
Author_Institution :
Res. & Technol., DaimlerChrysler, Ulm, Germany
fYear :
2004
fDate :
14-17 June 2004
Firstpage :
90
Lastpage :
94
Abstract :
New generations of "smart airbags" require information about a passenger\´s position, weight, size and posture to discriminate between adults, children, front- or rear-faced child seats, objects put on the seat or simply empty seats. The technical solution discussed here is based on a 3D-optical time-of-flight (TOF) sensor, with active modulated IR-illumination. Each individual pixel measures not only an intensity grey value but also the distance to a corresponding point in the scene under investigation. We present classification results for seat occupancy monitoring, obtained with statistical pattern recognition techniques. For head tracking we combine an ellipsoidal shape detector with an Extended Kalman Filter.
Keywords :
Kalman filters; feature extraction; image classification; image recognition; optical sensors; principal component analysis; safety devices; vehicles; 3 D optical time of flight sensor; IR illumination; ellipsoidal shape detector; extended Kalman filter; head tracking; intensity grey value; optical range sensors; seat occupancy monitoring; smart airbags; statistical pattern recognition; vehicle occupancy monitoring; Cameras; Laser radar; Layout; Monitoring; Optical filters; Optical modulation; Optical sensors; Pattern recognition; Stereo vision; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
Type :
conf
DOI :
10.1109/IVS.2004.1336361
Filename :
1336361
Link To Document :
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