Color adjustment for vehicle augmented reality displays

A method of adjusting color for an augmented reality vehicle display, the method comprising:

• accessing an image from a front vehicle camera of a vehicle;
• processing the image to determine an object of interest in the image;
• supplying the image to a trained machine learning model to generate a color selection output according to at least one background color or object color identified in image, wherein the color selection output indicates a specified color which contrasts the at least one background color or object color with respect to viewing by a driver of the vehicle;
• and
• displaying an object identifier on a windshield of the vehicle according to a gaze direction of the driver, via a display interface configured to display images on the windshield, wherein the object identifier includes the color selection output from the trained machine learning model.

A method of adjusting color for an augmented reality vehicle display, the method comprising:

• processing an image from a vehicle camera of a vehicle to determine an object of interest in the image;
• in response to a color vision deficient driver setting being active, applying daltonization color correction to determine a color selection output, wherein the color selection output indicates a specified color which contrasts at least one background color or object color identified in the image with respect to viewing by a driver of the vehicle;
• and
• displaying an object identifier on a windshield of the vehicle according to a gaze direction of the driver, via a display projector of an augmented reality heads-up display of the vehicle, wherein the object identifier includes the daltonization color correction.