METHOD AND SYSTEM FOR ROBUST IDENTIFICATION OF A VEHICLE OCCUPANT

METHOD AND SYSTEM FOR ROBUST IDENTIFICATION OF A VEHICLE OCCUPANT

A method for robust identification of a vehicle occupant. Simultaneously acquired data pairs from interior sensors and sensing elements are used as a training data set for global learning of a Deep Canonical Correlation Analysis architecture with two neural networks, wherein an authentication of the...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Murugaboopathy, Satiyabooshan, Kari, Mohamed, Bethge, David
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
COUNTING
PERFORMING OPERATIONS
PHYSICS
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
TRANSPORTING
VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:A method for robust identification of a vehicle occupant. Simultaneously acquired data pairs from interior sensors and sensing elements are used as a training data set for global learning of a Deep Canonical Correlation Analysis architecture with two neural networks, wherein an authentication of the respective vehicle occupants from the group of vehicle users is carried out in a first step as an initialization. In a second step or a subsequent use, only one of the two sensing elements is then needed to identify the respective vehicle occupant. Also described is a system, via which the robust identification is provided by way of the method.