公开(公告)号：US20230206608A1

公开(公告)日：2023-06-29

申请号：US18147304

申请日：2022-12-28

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Avigdor Eldar ,  Ofer Springer

IPC: G06V10/774 ,  G06V10/50 ,  G06V20/58 ,  G06V10/82 ,  G06V10/98 ,  G06V20/56 ,  B60W60/00 ,  B60Q9/00

CPC classification number: G06V10/774 ,  G06V10/50 ,  G06V20/584 ,  G06V10/82 ,  G06V10/98 ,  G06V20/588 ,  B60W60/0053 ,  B60Q9/00 ,  B60W2420/42

Abstract: Systems and methods are provided for training and using a model to predict image blockages. In one implementation, a system may comprise at least one processor. The at least one processor may be programmed to obtain a plurality of training images, each of the plurality of training images being associated with a blockage indicator representing a presence of a blockage or an absence of a blockage; analyze intensities of pixels located at corresponding pixel coordinates of the plurality of training images; and cause the model to undergo at least one training process based on the plurality of training images, the blockage indicator associated with each of the plurality of training images, and the analysis of the intensities of the pixels.

公开(公告)号：US12110037B2

公开(公告)日：2024-10-08

申请号：US17096495

申请日：2020-11-12

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Avigdor Eldar ,  Eli Peker ,  Matan Sulami

IPC: B60W60/00 ,  B60T7/12 ,  B60W10/18 ,  B60W10/20 ,  B60W30/12 ,  B60W30/18 ,  B62D6/00 ,  G01C21/00 ,  G01C21/30 ,  G01C21/34 ,  G01C21/36 ,  G05D1/00 ,  G06V20/56 ,  G06V20/58 ,  G07C5/08 ,  G08G1/00 ,  G08G1/01 ,  G08G1/07 ,  G08G1/14

CPC classification number: B60W60/001 ,  B60T7/12 ,  B60W10/18 ,  B60W10/20 ,  B60W30/12 ,  B60W30/18072 ,  B60W30/18109 ,  B62D6/001 ,  G01C21/30 ,  G01C21/3407 ,  G01C21/3626 ,  G01C21/3691 ,  G01C21/3815 ,  G01C21/3848 ,  G01C21/3885 ,  G05D1/0088 ,  G05D1/0214 ,  G05D1/0221 ,  G05D1/0246 ,  G05D1/0278 ,  G05D1/0287 ,  G06V20/56 ,  G06V20/584 ,  G06V20/588 ,  G08G1/0112 ,  G08G1/07 ,  G08G1/143 ,  G08G1/22 ,  B60W2300/123 ,  B60W2420/403 ,  B60W2520/06 ,  B60W2520/12 ,  B60W2552/05 ,  B60W2552/30 ,  B60W2552/45 ,  B60W2552/53 ,  B60W2554/60 ,  B60W2555/60 ,  B60W2556/40 ,  B60W2556/55 ,  B60W2556/65 ,  G01C21/38 ,  G01C21/3807 ,  G01C21/3841 ,  G07C5/0808

Abstract: A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to: receive two or more location identifiers associated with a detected lane mark; associate the detected lane mark with a corresponding road segment; update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

公开(公告)号：US11851085B2

公开(公告)日：2023-12-26

申请号：US17244040

申请日：2021-04-29

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Avigdor Eldar ,  Eli Peker ,  Matan Sulami

IPC: B60W60/00 ,  B60T7/12 ,  B62D6/00 ,  G05D1/02 ,  G06V20/58 ,  G01C21/00 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18 ,  G01C21/34 ,  G01C21/36 ,  G08G1/14 ,  G08G1/00 ,  G01C21/30 ,  B60W30/12 ,  G05D1/00 ,  G08G1/01 ,  G08G1/07 ,  G06V20/56 ,  G07C5/08

CPC classification number: B60W60/001 ,  B60T7/12 ,  B60W10/18 ,  B60W10/20 ,  B60W30/12 ,  B60W30/18072 ,  B60W30/18109 ,  B62D6/001 ,  G01C21/30 ,  G01C21/3407 ,  G01C21/3626 ,  G01C21/3691 ,  G01C21/3815 ,  G01C21/3848 ,  G01C21/3885 ,  G05D1/0088 ,  G05D1/0214 ,  G05D1/0221 ,  G05D1/0246 ,  G05D1/0278 ,  G05D1/0287 ,  G06V20/56 ,  G06V20/584 ,  G06V20/588 ,  G08G1/0112 ,  G08G1/07 ,  G08G1/143 ,  G08G1/22 ,  B60W2300/123 ,  B60W2420/42 ,  B60W2520/06 ,  B60W2520/12 ,  B60W2552/05 ,  B60W2552/30 ,  B60W2552/45 ,  B60W2552/53 ,  B60W2554/60 ,  B60W2555/60 ,  B60W2556/40 ,  B60W2556/55 ,  B60W2556/65 ,  G01C21/38 ,  G01C21/3807 ,  G01C21/3841 ,  G05D2201/0213 ,  G07C5/0808

Abstract: A system for vehicle navigation is provided. The system includes at least one processing circuitry programmed to receive via a data interface one or more images captured by one or more cameras representative of an environment of a vehicle, identify, based on analysis of the one or more images, at least one direction of at least one directional arrow on a road surface in the one or more images, determine a direction of travel for the vehicle based on the at least one direction of the at least one directional arrow on the road surface, determine at least one navigational action for the vehicle based on the determined direction of travel for the vehicle, and cause one or more actuator systems of the vehicle to implement the determined at least one navigational action for the vehicle.