Lossless privacy preserving data anonymation for adas/ad model development

A system comprising:

• one or more cameras configured to obtain data including one or more frames;
• and
• one or more processors that are coupled to the one or more cameras and that are configured to at least facilitate:
• identifying, for each frame of the one or more frames, one or more regions of interest for privacy protection:
• extracting, for each region of interest of the one or more regions of interest, high level properties of the region of interest for the frame:
• generating a replacement image for each of the one or more regions of interest, thereby protecting privacy while maintaining the high level properties of the region of interest;
• and
• for each of the one or more frames, updating the frame utilizing the replacement image for each of the one or more regions of interest, generating an updated frame that protects individual privacy.

A system comprising:

• one or more cameras configured to obtain observational data including one or more frames as to a plurality of actors, including vehicles and humans, along one or more roadways in which the vehicles travel;
• and
• one or more processors that are coupled to the one or more cameras and that are configured to at least facilitate:
• identifying, for each frame of the one or more frames, one or more regions of interest for privacy protection pertaining to the vehicles and the humans;
• extracting, for each region of interest of the one or more regions of interest, high level properties of the region of interest for the frame;
• generating a synthetic replacement image for each of the one or more regions of interest, thereby protecting privacy while maintaining the high level properties of the region of interest;
• for each of the one or more frames, updating the frame utilizing the synthetic replacement image for each of the one or more regions of interest, generating an updated frame that protects individual privacy;
• updating one or more datasets in computer memory using the updated frame for each of the one or more frames, generating one or more updated data sets;
• and
• training one or more models for control of assisted and automated driving vehicles, using the one or more updated data sets.