公开(公告)号：US20230367755A1

公开(公告)日：2023-11-16

申请号：US17740888

申请日：2022-05-10

Applicant: GHOST AUTONOMY INC.

Inventor： VOLKMAR UHLIG ,  JOHN HAYES ,  AKASH J. SAGAR ,  FAISSAL SLEIMAN ,  DAVID STEPHENSON ,  DANIEL J. FILLINGHAM ,  TIMOTHY CEREXHE

IPC: G06F16/22 ,  G06K9/62

CPC classification number: G06F16/2264 ,  G06F16/2272 ,  G06K9/6215

Abstract: Indexing a data corpus to a set of multidimensional points, including: generating a set of points in a multidimensional space; identifying, for each sample in a plurality of samples in a data corpus, a nearest point in the set of points; and generating an index mapping each sample with the nearest point in the set of points.

公开(公告)号：US20230001950A1

公开(公告)日：2023-01-05

申请号：US17823973

申请日：2022-09-01

Applicant: GHOST AUTONOMY INC.

Inventor： JOHN HAYES ,  VOLKMAR UHLIG ,  AKASH J. SAGAR ,  NIMA SOLTANI ,  FENG TIAN

IPC: B60W60/00 ,  G06N20/00

Abstract: Using predictive visual anchors to control an autonomous vehicle, including: determining, based on a plurality of frames of video data from a camera of an autonomous vehicle, one or more predicted visual anchors, wherein the one or more predicted visual anchors comprise a predicted location of one or more visual anchors at a future time relative to when the plurality of frames were captured; identifying, in another frame of video data corresponding to the future time, the one or more visual anchors; determining one or more differentials between the one or more visual anchors and the one or more predicted visual anchors; determining, based on the one or more differentials, one or more control operations for the autonomous vehicle; and applying the one or more control operations.

公开(公告)号：US20230269491A1

公开(公告)日：2023-08-24

申请号：US17676569

申请日：2022-02-21

Applicant: GHOST AUTONOMY INC.

Inventor： VOLKMAR UHLIG ,  JOHN HAYES ,  RIAZ ALI ,  SHAUN M. PACHECO ,  JUSTIN N. ERICKSON ,  JAMES S. CROSS ,  DANIEL D. SCHMIDT ,  AKASH J. SAGAR

IPC: H04N5/232 ,  H04N5/262

CPC classification number: H04N5/23229 ,  H04N5/2628

Abstract: Throughput reduction in autonomous vehicle camera sensors, including: generating, by a camera sensor, a frame; selecting an area of focus for the frame; and generating, by the camera sensor from the frame, a downsampled frame and a cropped frame, wherein the cropped frame is based on the area of focus.