An LVQ-based Automotive Occupant Classification System
Kenneth Kennedy, Jacobs Nathan, M. Shridhar · 2006
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)