3-D vision technology for occupant detection and classification
2005 (English)In: Fifth International Conference on 3-D Digital Imaging and Modeling, Proceedings, LOS ALAMITOS: IEEE COMPUTER SOC , 2005, 72-79 p.Conference paper (Refereed)
This paper describes a 3-D vision system based on a new 3-D sensor technology for the detection and classification of occupants in a car New generation of so-called "smart airbags" require the information about the occupancy type and position of the occupant. This information allows a distinct control of the airbag inflation. In order to reduce the risk of injuries due to airbag deployment, the airbag can be suppressed completely in case of a child seat oriented in reward direction. In this paper we propose a 3-D vision system based on a 3-D optical time-of-flight (TOF) sensor for the detection and classification of the occupancy on the passenger seat. Geometrical shape features are extracted from the 3-D image sequences. Polynomial classifier is considered for the classification task. A comparison of classifier performance with principle components (eigen-images) is presented. This paper also discuss the robustness of the features with variation of the data. The full scale tests have been conducted on a wide range of realistic situations (adults/children/child seats etc.) which may occur in a vehicle.
Place, publisher, year, edition, pages
LOS ALAMITOS: IEEE COMPUTER SOC , 2005. 72-79 p.
Data mining, Feature extraction, Geometrical optics, Injuries, Intelligent sensors, Machine vision, Optical sensors, Sensor phenomena and characterization, Sensor systems, Shape
IdentifiersURN: urn:nbn:se:kth:diva-34973DOI: 10.1109/3DIM.2005.1ISI: 000230405400009ScopusID: 2-s2.0-79959819990ISBN: 0-7695-2327-7OAI: oai:DiVA.org:kth-34973DiVA: diva2:426998
5th International Conference on 3-D Digital Imaging and Modeling (3DIM 2005) Ottawa, CANADA, JUN 13-16, 2005
QC 201106272011-06-272011-06-172012-01-23Bibliographically approved