公开(公告)号：US20230114215A1

公开(公告)日：2023-04-13

申请号：US18045824

申请日：2022-10-11

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Tom TABAK

IPC: G06V20/56 ,  G06V10/762 ,  G06V10/774

Abstract: A method for lane boundary detection, the method may include obtaining an image of an environment of a vehicle, the environment comprises at least one lane boundary portions; wherein the image comprises a first plurality of two dimensional (2D) image segments; converting, by a first machine learning process, each of the 2D segments to a segment vector to provide a first plurality of segment vectors; wherein each segment vector represents a 2D segment; finding an associated cluster for each segment vector to provide a second plurality of associated clusters; searching for at least one LBR cluster of the second plurality of associated clusters; and determining, for each LBR segment vector and by a second machine learning process, a location of a lane boundary portion within a 2D image segment that is represented by the LBR segment vector; wherein a LBR segment vector has an associated cluster that is a LBR cluster.

公开(公告)号：US20230041279A1

公开(公告)日：2023-02-09

申请号：US17817928

申请日：2022-08-05

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz ,  Adam HAREL

IPC: B60W30/09 ,  G06N5/04

Abstract: A method for A method for automatic emergency braking (AEB) of a vehicle, the method may include obtaining sensed information regarding an environment of the vehicle and regarding a motion of the vehicle; determining an occurrence of current situation, based on the sensed information; selecting, based on the current situation, a selected narrow AI agent out of multiple narrow AI agents; wherein different narrow AI agents are trained, using a machine learning process, to perform AEB related decisions at different scenarios; wherein the selected narrow AI agent is associated with the occurrence of the current situation; processing, by the selected narrow AI agent, 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; wherein the processing results in a AEB related decision; and responding to the AEB related decision, wherein the responding comprises at least one out of (a) executing the AEB related decision, and (b) suggesting executing the AEB related decision.

公开(公告)号：US20220028265A1

公开(公告)日：2022-01-27

申请号：US17304550

申请日：2021-06-22

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Boaz Mell ,  Adam HAREL ,  Igal Raichelgauz

IPC: G08G1/0967 ,  G08G1/01 ,  G08G1/0968 ,  G06N20/00

Abstract: A method for generating the at least one highway exit indicator, the method may include receiving video information and location information obtained during driving sessions of the plurality of vehicles; determining, based on the location information, multiple suspected highway exit events; selecting video information segments, wherein each selected video information segment is acquired before a suspected highway exit event and in timing proximity to the suspected highway exit event; and applying a machine learning process on at least some of the selected video information segments to find the at least one highway exit indicator.

公开(公告)号：US12291223B2

公开(公告)日：2025-05-06

申请号：US18350684

申请日：2023-07-11

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Armin Biess ,  Isaac Misri ,  Julius Engelsoy ,  Igal Raichelgauz

IPC: B60W30/09 ,  B60W40/107 ,  B60W50/08 ,  B60W50/14

Abstract: A method for communicating with a driver of a vehicle, the method includes (i) obtaining object information regarding one or more objects located within an environment of the vehicle; (ii) analyzing the object information; (iii) determining, by using one or more neural network (NNs), and based on the object information, a virtual force associated with a physical model and representing an impact of the one or more objects on a behavior of the vehicle; and (iv) determining, based on at least the virtual force, a force feedback for use in providing a physical restraining force to be applied in association with a driver action made by the driver using the vehicle.

公开(公告)号：US20250111659A1

公开(公告)日：2025-04-03

申请号：US18479806

申请日：2023-10-02

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Shay Leizerovitch

IPC: G06V10/82 ,  G06V10/77

Abstract: A method for transfer learning, including (a) obtaining new object images and new object bounding shape information indicative of new object bounding shapes; (b) feeding the new object images to a NN that is trained to detect the certain objects, (c) providing, per each layer out of a group of candidate layers and for each new object image of the new object images, (i) a features map regarding a new object bounding shape, and (ii) a features map regarding an external region; (d) building, per each layer out of a group of candidate layers of the NN, an object classifier configured to distinguish between a bounding shape region and an external region; (e) selecting, out of the group of candidates layers, a selected layer; and (f) associating the selected layer with a detection of the new object.

公开(公告)号：US12257949B2

公开(公告)日：2025-03-25

申请号：US17648928

申请日：2022-01-25

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Karina Odinaev ,  Igal Raichelgauz

IPC: B60Q9/00 ,  G06F3/16 ,  G10K15/04 ,  H04R1/08 ,  H04R3/00 ,  G08B3/10

Abstract: A method for providing an in-vehicle indication, the method may include obtaining, during a driving session of a vehicle, external audio information about audio generated outside the vehicle; determining whether the audio generated outside the vehicle comprises driving affecting audio; and generating the in-vehicle indication, within the vehicle, when determining that the audio generated outside comprises driving affecting audio. The in-vehicle indication is indicative about the driving affecting audio generated outside the vehicle.

公开(公告)号：US20250088366A1

公开(公告)日：2025-03-13

申请号：US18466789

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: H04L9/32

Abstract: A method that is automatically validating of signatures for object detection, the method includes automatically evaluating, by a controller, a signature being generated by an adaptable artificial intelligence (AI) system and stored in a memory, by determining whether the signature introduced an error in a previously accurate detection of an object; and triggering a response to address an outcome of the evaluating with respect to a problem found during the automatically evaluating.

公开(公告)号：US20250086957A1

公开(公告)日：2025-03-13

申请号：US18466788

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz ,  Ran Bakalo

IPC: G06V10/82 ,  G06V20/56

Abstract: A method that is computer implemented and is for signature generation, the method includes receiving readout information, by a signature generator, the readout information is provided by a readout circuit and was extracted from a deep neural network (DNN) that was fed by a processed sensed information unit (SIU); wherein the processed SIU consists essentially of (i) SIU elements that are located within a region that is related to a bounding shape and has a desired receptive field, and (ii) padding SIU elements; and generating, by the signature generator and based on the readout information, a signature of the processed SIU for use in an at least partially autonomous driving of a vehicle.

公开(公告)号：US20250086444A1

公开(公告)日：2025-03-13

申请号：US18466797

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: G06N3/063

Abstract: A method that is computer implemented and is for solving inaccuracies associated with object detection, the method includes automatically evaluating, by a controller, an accuracy of signatures for use in the object detection, the signatures were generated by an adaptable artificial intelligence (AI) system; and when finding an erroneous signature of the signatures, by the controller, triggering a generation of a router that routes a sensed information unit (SIU) that is associated with the erroneous signature to a current error resolving part of the adaptable AI system, the current error resolving part of the adaptable AI system is currently associated with resolving at least one other error associated with at least one other erroneous signature.

公开(公告)号：US20250085391A1

公开(公告)日：2025-03-13

申请号：US18466777

申请日：2023-09-13

Applicant: AUTOBRAINS TECHNOLOGIES LTD

Inventor： Igal Raichelgauz

IPC: G01S7/41 ,  G01S13/93

Abstract: A method for solving inaccuracies associated with object detection, the method includes automatically evaluating, by a controller, an accuracy of signatures for use in the object detection, the signatures were generated by an adaptable artificial intelligence (AI) system. When finding an erroneous signature of the signatures, by the controller, triggering a generation of an error resolving part of the adaptable AI system for generating a correct signature instead of the erroneous signature, wherein the erroneous signature, when used for the object detection, results in an object detection error.