Personally identifiable information removal based on private area logic

1. A system for removal of personally identifiable information (PH), comprising:

sensors configured to capture sensor data; and

one or more controllers programmed to

perform object detection on the sensor data to create a sematic labeling of objects in the sensor data,

identify a current location of the system,

create a three-dimensional (3D) depth mapping based on the sensor data,

perform a data fusion to fuse the 3D depth mapping, the object detection, and high definition (HD) maps of the current location,

utilize a model receiving the data fusion as input to classify regions of the sensor data with a public or private labeling according to the sematic labeling, the 3D depth mapping, the HD maps, and a PH filter corresponding to a jurisdiction of the current location of the system, and

utilize the sensor data in accordance with the public or private labeling.

2. The system of claim 1 , wherein the one or more controllers are further programmed to obfuscate the regions of the sensor data labeled as private in the public or private labeling.

3. The system of claim 1 , wherein the one or more controllers are further programmed to:

request customer attestation of the regions of the sensor data indicated as being private according to the public or private labeling; and

obfuscate the regions of the sensor data labeled as private in the public or private labeling, for which the customer attestation is not received.

4. The system of claim 1 , wherein the sensors include image sensors, the sensor data is image data, and the regions of the sensor data include pixels of the image data.

5. The system of claim 1 , further comprising a transceiver, wherein the one or more controllers are further programmed to:

utilize the transceiver to download the PII filter corresponding to the jurisdiction.

6. A method for removal of personally identifiable information (PII), comprising:

capturing sensor data using sensors of a vehicle;

performing object detection on the sensor data to create a sematic labeling of objects in the sensor data;

identifying a current location of the vehicle;

creating a three-dimensional (3D) depth mapping based on the sensor data;

performing a data fusion to fuse the 3D depth mapping, the object detection, and high definition (HD) maps of the current location;

utilizing a model receiving the data fusion as input to classify regions of the sensor data with a public or private labeling according to the sematic labeling, the 3D depth mapping, the HD maps, and a PII filter corresponding to a jurisdiction of the current location of the vehicle; and

utilizing the sensor data in accordance with the public or private labeling.

7. The method of claim 6 , further comprising obfuscating the regions of the sensor data labeled as private in the public or private labeling.

8. The method of claim 6 , further comprising:

requesting customer attestation of the regions of the sensor data indicated as being private according to the public or private labeling; and

obfuscating the regions of the sensor data labeled as private in the public or private labeling, for which the customer attestation is not received.

9. The method of claim 6 , wherein the sensors include image sensors, the sensor data is image data, and the regions of the sensor data include pixels of the image data.

10. The method of claim 6 , further comprising:

utilizing a transceiver of to download the PII filter corresponding to the jurisdiction.

11. A non-transitory computer-readable medium comprising instructions for removal of personally identifiable information (PII) that, when executed by one or more controllers of a vehicle, cause the vehicle to:

capture sensor data using sensors of the vehicle;

perform object detection on the sensor data to create a sematic labeling of objects in the sensor data;

identify a current location of the vehicle;

create a three-dimensional (3D) depth mapping based on the sensor data;

perform a data fusion to fuse the 3D depth mapping, the object detection, and high definition (HD) maps of the current location;

utilize a model receiving the data fusion as input to classify regions of the sensor data with a public or private labeling according to the sematic labeling, the 3D depth mapping, the HD maps, and a PII filter corresponding to a jurisdiction of the current location of the vehicle; and

utilize the sensor data in accordance with the public or private labeling.

12. The medium of claim 11 , further comprising instructions that, when executed by the one or more controllers of the vehicle, cause the vehicle to one or more of:

obfuscate the regions of the sensor data labeled as private in the public or private labeling, or

obfuscate the regions of the sensor data labeled as private in the public or private labeling, for which customer attestation is not received.

13. The medium of claim 11 , wherein the sensors include image sensors, the sensor data is image data, and the regions of the sensor data include pixels of the image data.

14. The medium of claim 11 , further comprising instructions that, when executed by the one or more controllers of the vehicle, cause the vehicle to:

utilize a transceiver to download the PII filter corresponding to the jurisdiction.