VEHICLE OCCUPANT WEIGHT CLASSIFICATION SYSTEM

Patent №

US 6,823,959

Granted

2004-11-30

Filed 2002

Owner

Lab

AI components

3

ml · vision · planning

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

10321997

A vehicle occupant classification system categorizes vehicle occupants into various classes such as adult, child, infant, etc. to provide variable control for a vehicle restraint system such as an airbag. The classification system utilizes sensors that are installed in various locations in the vehicle. The sensors are used to generate a three-dimensional profile for the vehicle occupant. Various factors can affect the accuracy of this three-dimensional profile. Fuzzy logic is used to reduce some of the inaccuracies by providing multiple decision levels for various stages of the classification. Inaccuracies are also caused by sensors shifting within the system from their original position. This condition creates offset and the system evaluates this offset and generates a correction factor to provide a more accurate three-dimensional profile. Electrically erasable programmable read-only memory is used to reduce complications and inaccuracies associated with seat occupant weight sensors that have mounting configurations that vary depending upon the vehicle.

Machine learningVisionPlanningB60R 21/01516G06V 40/10Y10T 74/18088Y10T 74/1967

AI classification

Vision0.96
Planning0.83
Machine learning0.67
AI hardware0.47
Knowledge representation0.03
Natural language0.00
Speech0.00
Evolutionary computation0.00
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