Color transformation system and model for a vehicle

A color transformation system for a vehicle, the color transformation system comprising:

• data processing hardware;
• and
• memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:
• receiving, at a color transformation model, image data from one or more imagers of the vehicle;
• identifying, based on the image data, at least one target;
• generating, via a target detection model, a region of interest of the image data based on and proximate to the identified target;
• cropping, via the color transformation model, the image data at the generated region of interest;
• executing, via the color transformation model, a localized daltonization function on the region of interest to define a transformed region of interest;
• and
• replacing the generated region of interest of the image data with the transformed region of interest, the transformed region of interest having an altered color than the generated region of interest.

A color transformation system for a vehicle, the color transformation system comprising:

• data processing hardware;
• and
• memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:
• receiving, at a color transformation model, image data from one or more imagers of the vehicle;
• identifying, based on the image data, at least one target;
• generating, via a target detection model, a region of interest of the image data based on and proximate to the identified target;
• executing, via the color transformation model, a machine learning function of a machine learning model;
• mapping, via the machine learning function, an input image from the image data to an output image, the output image corresponding to a color adjusted image;
• cropping, via the color transformation model, the image data at the generated region of interest;
• executing, via the color transformation model, a localized generative adversarial network (GAN) function on the region of interest to define a transformed region of interest;
• and
• replacing the generated region of interest of the image data with the transformed region of interest, the transformed region of interest having an altered color than the generated region of interest.