公开(公告)号：US12067149B2

公开(公告)日：2024-08-20

申请号：US17317549

申请日：2021-05-11

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： David Michael Herman ,  Jon Speigle ,  Brian Tamm

IPC: G06F21/62 ,  G06F16/11 ,  G06F16/23 ,  H04L9/40

CPC classification number: G06F21/6254 ,  G06F16/125 ,  G06F16/2379 ,  H04L63/105

Abstract: Use of embedded metadata for data privacy compliance is provided. In a data store, self-managed data is maintained including metadata specifying retention policy data. Responsive to a self-update to scrub PII from the self-managed data being indicated by the retention policy data, the PII is removed from the self-managed data maintained by the data store. Responsive to a self-update to delete the self-managed data from the self-managed data being indicated by the retention policy data, the self-managed data is removed from the data store.

公开(公告)号：US11914745B2

公开(公告)日：2024-02-27

申请号：US17230415

申请日：2021-04-14

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： David Michael Herman ,  Jon Speigle ,  Brian Tamm ,  Yashanshu Jain ,  Yogendra Singh

IPC: G06F21/62 ,  G06N3/08 ,  G06N3/04 ,  G06V20/56 ,  G06V40/16 ,  G06V20/62

CPC classification number: G06F21/6245 ,  G06N3/04 ,  G06N3/08 ,  G06V20/56 ,  G06V40/166 ,  G06V40/169 ,  G06F2221/2141 ,  G06V20/625 ,  G06V2201/07

Abstract: Handling personally identifiable information (PII) in data streams is provided. Processed sensor data is received, from a plurality of vehicles including sensors capturing raw sensor data, the raw sensor data including captured PII and non-PII. The processed sensor data includes simulated PII created based on the captured PII and one or more layers of the captured PII corresponding to the simulated PII. A request is received from a client device for a portion of the processed sensor data. Access keys corresponding to the request are identified. A result is constructed according to the access keys using the processed sensor data. The constructed result is sent to the client device responsive to the request.

公开(公告)号：US11367292B2

公开(公告)日：2022-06-21

申请号：US16798956

申请日：2020-02-24

Applicant: Ford Global Technologies, LLC

Inventor： Jon Speigle ,  David Michael Herman ,  Kyle B. Sorensen

IPC: G06V20/56 ,  G06V10/141 ,  G06V10/30 ,  G06V10/145 ,  G06V20/58 ,  G05D1/02 ,  G06T3/40 ,  B60W30/12 ,  B60W30/18 ,  H04N5/235 ,  G06V10/50

Abstract: A processing system comprises a processor and a memory. The memory stores instructions executable by the processor to receive a polarimetric image from a polarimetric camera sensor, and to identify a road surface in the received image based on a vehicle location, an orientation of the camera sensor, and a vehicle pose. The memory stores instructions, upon identifying, in the polarimetric image, polarized light reflections from the identified road surface based on a polarization direction and a polarization degree determined from the polarimetric image, to remove the identified polarized light reflections from the polarimetric image, thereby generating an updated polarimetric image including generating a de-mosaicked imaged based on the identified polarized light reflections, wherein the identified polarized light reflections are ignored at de-mosaicking, and to identify a road feature including a lane marking based on the updated polarimetric image.

公开(公告)号：US20210264169A1

公开(公告)日：2021-08-26

申请号：US16798956

申请日：2020-02-24

Applicant: Ford Global Technologies, LLC

Inventor： Jon Speigle ,  David Michael Herman ,  Kyle B. Sorensen

IPC: G06K9/00 ,  G06K9/46 ,  G06T3/40 ,  G06K9/40 ,  G06K9/20 ,  G05D1/02

Abstract: A processing system comprises a processor and a memory. The memory stores instructions executable by the processor to receive a polarimetric image from a polarimetric camera sensor, and to identify a road surface in the received image based on a vehicle location, an orientation of the camera sensor, and a vehicle pose. The memory stores instructions, upon identifying, in the polarimetric image, polarized light reflections from the identified road surface based on a polarization direction and a polarization degree determined from the polarimetric image, to remove the identified polarized light reflections from the polarimetric image, thereby generating an updated polarimetric image including generating a de-mosaicked imaged based on the identified polarized light reflections, wherein the identified polarized light reflections are ignored at de-mosaicking, and to identify a road feature including a lane marking based on the updated polarimetric image.