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Summary & Details

State Estimation and Sensorimotor Noise in a Driver Steering Model with a Gaussian Process Internal Model

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Paper/Info type: AVEC

Pages: 64-70(Total 7 p)

Date of publication: Sep 2024

Publisher: Others, Unknown

Language: English

Event: AVEC '24

Detailed Information

Author(E)	1) Harry Fieldhouse, 2) David Cole
Affiliation(E)	1) University of Cambridge, 2) University of Cambridge
Abstract(E)	Refinements to a mathematical model of human drivers’ steering control incorporating driver learning are reported. State estimation and realistic sensorimotor noise sources are introduced to the driver model to better represent neural processes. It is found that the driver model exhibits the expected learning behaviour in terms of estimation and control performance. Further work is planned to validate the model experimentally.

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