An LVQ-based Automotive Occupant Classification System

  • Authors:

  • Karl R. Kennedy;John F. Nathan;M. Shridhar

  • Affiliations:

  • Lear Corporation;Lear Corporation;Univ. of Michigan Dearborn

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
  • Year:
  • 2006

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Abstract

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).