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An LVQ-based Automotive Occupant Classification System
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.26118th International Conference on Patt ...
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Karl R. Kennedy, Lear Corporation
John F. Nathan, Lear Corporation
M. Shridhar, Univ. of Michigan Dearborn
This paper presents a description of a system designed to classify a passenger in an automobile into one of three classes: a) adult, b) children (6 years and younger) and infants in child seats and c) empty seat. The authors examine the application of neural networks (BP, LVQ etc.) for this Occupant Classification System (OCS).
Citation:
Karl R. Kennedy, John F. Nathan, M. Shridhar, "An LVQ-based Automotive Occupant Classification System," icpr, vol. 2, pp.662-665, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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