公开(公告)号：US20210319297A1

公开(公告)日：2021-10-14

申请号：US17301612

申请日：2021-04-08

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Eli Passov

IPC: G06N3/063 ,  G06N3/04

Abstract: An apparatus that may include a neural network processor, the neural network processor comprises multiple building blocks. Each of the at least some of the building blocks may include, may consist or may consist essentially of an input, an output and at least one array convolution unit.

公开(公告)号：US12299956B2

公开(公告)日：2025-05-13

申请号：US17819308

申请日：2022-08-11

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Adi Gotliber ,  Alexander Dikman ,  Jonathan Cohen

IPC: G06V10/74 ,  G06T7/13 ,  G06T7/80

Abstract: A method for calculating a distance between a vehicle camera and an object, the method may include: (a) obtaining an image that was acquired by the vehicle camera of a vehicle; the image captures the horizon, the object, and road lane boundaries; (b) determining an initial row-location horizon estimate and a row-location contact point estimate, the contact point is between the object and a road on which the vehicle is positioned; (c) determining a vehicle camera roll angle correction that once applied will cause the lanes boundaries to be parallel to each other in the real world; (d) calculating a new row-location horizon estimate, wherein the calculating comprises updating the row-location horizon estimate based on the vehicle camera roll angle correction; and (e) calculating the distance between the vehicle camera based on a difference between the new row-location horizon estimate and the row-location contact point estimate.

公开(公告)号：US20250148755A1

公开(公告)日：2025-05-08

申请号：US18504083

申请日：2023-11-07

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Shani Nehama ,  Igal Raichelgauz

IPC: G06V10/764 ,  G06V20/56

Abstract: A method for improving an accuracy of object classification, the method includes: (i) receiving, by a machine learning process, information regarding an environment of a vehicle; (ii) classifying, by the machine learning process, an object that is located within the environment of the vehicle to a certain class; wherein the machine learning process was trained by a training process to classify objects while avoiding false positive (FP) errors that are represented by different FP data sets that are fed to the machine learning process during the training process, the different FP data sets are associated with different classes; wherein for each class of the different classes, a FP data set that is associated with the class comprises FP data sub-sets that are associated with different objects that were mistakenly classified to the class; and outputting an outcome of the classification for use in navigating the vehicle.

公开(公告)号：US20250087032A1

公开(公告)日：2025-03-13

申请号：US18466793

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: G07C5/08 ,  G06N20/00

Abstract: A method that is computer implemented and is for improving an accuracy of object detection, the method includes identifying, by a controller, an erroneous signature of at least a part of a sensed information unit (SIU) for use in the object detection, wherein a source of an error of the erroneous signature is a sensing unit that generated the SIU under a current acquisition condition, wherein the at least part of the SIU captured an object; and triggering an acquisition of a new SIU, under a desired acquisition condition that is tailored to solve the error.

公开(公告)号：US20250086452A1

公开(公告)日：2025-03-13

申请号：US18466781

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: G06N3/08 ,  B60W60/00

Abstract: A method that is computer implemented and is for improving an accuracy of a deep neural network (DNN) used for classification, the method includes identifying an error source within the DNN, wherein the DNN represents a deep learning model used for at least partially autonomous driving; and triggering a generation of a bypass path that bypasses the errors source.

公开(公告)号：US20250083682A1

公开(公告)日：2025-03-13

申请号：US18466794

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: B60W50/029 ,  B60W50/02 ,  G06F18/23 ,  G06N3/04

Abstract: A method that is computer implemented and is for solving an error related to an object captured in a sensed information unit (SIU), the method includes obtaining a cluster signature that is identified as introducing an error in relation to an object associated with a cluster, the cluster is represented by the cluster signature, the cluster signature is for used for at least partially automatically driving a vehicle; obtaining a compressed version of the cluster signature; and determining whether the compressed version of the cluster signature resolves the error. When determined that the compressed version of the cluster signature resolves the error, automatically replacing the signature by the compressed version of the cluster signature. When determined that the compressed version of the cluster signature does not resolve the accuracy, then triggering a generation of an error resolving process that differs from the compressing of the cluster signature.

公开(公告)号：US12217511B1

公开(公告)日：2025-02-04

申请号：US18739260

申请日：2024-06-10

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz ,  Idan Geller ,  Lior Eldar

IPC: G06V20/56 ,  B60W60/00 ,  G06V10/764 ,  G06V10/82

Abstract: A method for real time management of detected issues, the method includes producing, by a classification unit having a neural network, a classification decision for sensed information obtained in an environment of a vehicle; generating, by one or more computing devices with auto-labeling capabilities, an automated ground truth labeling for the sensed information; detecting, by the one or more computing devices and based on a performance indication related to the automated ground truth labeling, an issue with respect to the classification decision; and responsive to the detecting, addressing the detected issue in a driving in the environment of the vehicle by a computer device associated with the vehicle, using a signature generated in association with at least the classification decision or with the detected issue. The neural network is in a same state in the producing of the classification decision, the detecting the issue, and the addressing the detected issue.

公开(公告)号：US12214782B2

公开(公告)日：2025-02-04

申请号：US17817935

申请日：2022-08-05

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: B60W30/095 ,  G06V20/40 ,  G06V20/58

Abstract: A method for intersection assistance, the method may include obtaining sensed information regarding an environment of the vehicle; determining an occurrence of an intersection related situation, based on the sensed information; generating one or more intersection driving related decisions; wherein the generating comprises processing, by one or more narrow AI agents of a group of narrow AI agents, at least one out of (a) at least a first part of the sensed information, and (b) an outcome of a pre-processing of at least a second part of the sensed information; and responding to the one or more intersection driving related decisions; wherein the responding comprises at least one out of (a) executing the one or more intersection driving related decisions, and (b) suggesting executing the one or more intersection driving related decisions.

公开(公告)号：US12139166B2

公开(公告)日：2024-11-12

申请号：US17805852

申请日：2022-06-07

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz ,  Karina Odinaev

IPC: B60W60/00 ,  B60H1/00 ,  B60Q3/80 ,  B60R16/037 ,  B60W10/30

Abstract: A method that may include receiving driving information and environmental metadata indicative of information sensed by the vehicle; detecting multiple driving events encountered during the driving over the path; determining driving events; for each driving event, determining a comfort based autonomous driving pattern information; for each driving event, determining an driving event identifier; and storing in at least one data structure a driving event identifier for each one of the multiple types of driving events, and a comfort based autonomous driving pattern information.

公开(公告)号：US20240367656A1

公开(公告)日：2024-11-07

申请号：US18310494

申请日：2023-05-01

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Adi Gotliber ,  ALEXANDER DIKMAN ,  JONATHAN COHEN

IPC: B60W40/06

Abstract: A method for lane detection, including A computer implemented method for lane detection, the method includes (a) receiving, at one or more processing circuits of a vehicle, a plurality of initial lane boundary estimates that represent lane boundaries within a road environment, the plurality of initial lane boundary estimates include (i) first lane boundary estimates and (ii) single-image based lane boundary estimates; wherein under one or more predefined conditions the single-image based lane boundary estimates are sent once per multiple images; and (a) generating, by the one or more processing circuits, real-world lane detection estimates based on the initial lane boundary estimates, the generating includes evaluating real-world distances between initial lane boundary estimates of the lane boundaries, the initial lane boundary estimates are associated with a same point of time.