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公开(公告)号：US20230040317A1
公开(公告)日：2023-02-09
申请号：US17817936
申请日：2022-08-05
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Karina Odinaev , Igal Raichelgauz
Abstract: A method for providing a prediction of a radius of a motorcycle turn, the method may include determining that the motorcycle is about to turn; predicting values of multiple radius of turn impacting (RTI) parameters; wherein the multiple RTI parameters are selected out of a group of parameters, wherein the selection was made during a machine learning training process, and the group of parameters comprises motorcycle kinematic parameters; determining, based on the determined values of the multiple RTI parameters, the estimated radius of the motorcycle turn; and performing a driving related operation based on the estimated radius of the motorcycle turn.
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公开(公告)号：US20220392236A1
公开(公告)日：2022-12-08
申请号：US17805849
申请日：2022-06-07
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Karina Odinaev , Shay Ieizerovitch
IPC: G06V20/56 , G06V10/764 , G06V10/762 , G06V10/26
Abstract: A method for unsupervised learning of drivable space, the method may include receiving, by a processing circuit, an image of an environment of a vehicle; searching, in the image and by the processing circuit, for a drivable space within the environment of the vehicle, wherein the drivable space is associated with a statistically significant drivable space behavior; wherein the association is learnt by applying an unsupervised learning process; and responding, by the processing circuit, to a finding of the drivable space.
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公开(公告)号：US20220114756A1
公开(公告)日：2022-04-14
申请号：US17500882
申请日：2021-10-13
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Igal Raichelgauz
IPC: G06T7/80 , G01S17/86 , G01S17/89 , G01S17/931
Abstract: Systems, and method and computer readable media that store instructions for distance measurement, the method may include obtaining, from a camera of a vehicle, an image of a surroundings of the vehicle; searching, within the image, for an anchor, wherein the anchor is associated with at least one physical dimension of a known value; and when finding the anchor, determining a distance between the camera and the anchor based on, (a) the at least one physical dimension of a known value, (b) an appearance of the at least one physical dimension of a known value in the image, and (c) a distance-to-appearance relationship that maps appearances to distances, wherein the distance-to-appearance relationship is generated by a calibration process that comprises obtaining one or more calibration images of the anchor, and obtaining one or more distance measurements to the anchor.
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公开(公告)号：US20220111849A1
公开(公告)日：2022-04-14
申请号：US17445311
申请日：2021-08-17
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Igal Raichelgauz , Adam Harel , Roi Saida
Abstract: A method for determining driving related features of a vehicle, the method may include: repeating, during each time interval out of multiple time intervals of a period; obtaining sensed information during at least a part of the time interval; receiving context information determined before the time interval; selecting, based on the context information, a selected sub-set of narrow artificial intelligence (AI) agents or calculating one or more driving related features. The calculating may include applying the selected sub-set of narrow AI agents on the sensed information; and determining, based on the sensed information, context information to used following the time interval.
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公开(公告)号：US20220028273A1
公开(公告)日：2022-01-27
申请号：US17443318
申请日：2021-07-23
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Boaz MELL , Adam HAREL , Igal Raichelgauz
IPC: G08G1/16
Abstract: A method for bypass alert, the method may include obtaining sensed information about an environment of the first vehicle, by one of more vehicle sensors of a first vehicle; wherein the environment of the first vehicle comprises a passing lane and a current lane in which the first vehicle is positioned; determining whether a driver initiates a bypass of another vehicle to be bypassed, wherein the determining is made by a first machine learning process, and is based on at least one out of first vehicle parameters and the sensed information about the environment; determining that the first vehicle entered the passing lane; determining, by a second machine learning process, a determined time to collision (TTC) to an incoming vehicle that is located at the passing lane and drives towards the first vehicle; determining, based on at least on the determined TTC and an allowable TTC to provide a safety parameter of the bypass; and responding to the safety parameter.
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Patent Agency Ranking
公开(公告)号：US20220024495A1
公开(公告)日：2022-01-27
申请号：US17443328
申请日：2021-07-24
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Boaz MELL , Adam Harel , Igal Raichelgauz
Abstract: A method for open door steer assist, the method may include receiving by a vehicle computerized system, at least one future open door predictor that is indicative of a future vehicle door opening process, the future open door predictor is generated by a machine learning process and is visible before a start of an opening of the vehicle door and before reaching the vehicle door; wherein each of the at least one future open door predictor is sensed before a start of the future vehicle door opening process; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for a future open door predictor of the at least one future open door predictor; and detecting the future open door predictor.
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公开(公告)号：US20250148298A1
公开(公告)日：2025-05-08
申请号：US18504834
申请日：2023-11-08
Applicant: AUTOBRAINS TECHNOLOGIES LTD.
Inventor： Julius Engelsöy , Armin Biess , Issac Misri , Joey Hendry
Abstract: A method for visualizing neurons in an Artificial Intelligence (AI) model for autonomous driving. The method includes obtaining, from a number of neurons of the AI model for a task, one or more neurons; determining, for each of the one or more neurons, a respective Region of Interest (ROI) of an input related to the task, wherein the respective ROI is encoded by the one or more neurons for the task; and producing a human-interpretable representation of the determined respective ROI of the input for at least a portion of the one or more neurons, by applying a first operation including Layer-wise Relevance Propagation (LRP).
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公开(公告)号：US12293560B2
公开(公告)日：2025-05-06
申请号：US18049992
申请日：2022-10-26
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Kirill Diagilev , Shiyong Lin
Abstract: A method for context based separation between vehicle pixels and background pixels, which may include receiving a first image and a second image, the first image and the second images are of temporarily adjacent to each other and capture a same vehicle and background content. The method may also include obtaining a first bounding box that surrounds at least a part of the vehicle within the first image; wherein the first bounding has a first width and a first height; obtaining a second bounding box that surrounds at least the part of the vehicle within the second image; wherein the second bounding box has a second width and a second height; obtaining a mapping between pairs of initially matched pixels, wherein each pair comprises a first pixel and a second pixel that correspond to same entity portion, wherein the entity portion is a portion of the vehicle or of the background content. The method may also include determining, for each pair of at least some of the pairs, a first normalized relative location of a first pixel of the pair within the first bounding box and a second normalized relative location of a second pixel of the pair within the second bounding box; and determining for the each pair whether the pair is a vehicle related pair or a background content pair.
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公开(公告)号：US12272245B2
公开(公告)日：2025-04-08
申请号：US17443318
申请日：2021-07-23
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Boaz Mell , Adam Harel , Igal Raichelgauz
Abstract: A method for bypass alert, the method includes (i) obtaining sensed information about an environment of the vehicle, by one of more vehicle sensors of a vehicle. The environment of the vehicle includes a passing lane and a current lane; (ii) determining whether a driver initiates a bypass of another vehicle to be bypassed, by a first machine learning process (MLP), based on at least one out of vehicle parameters and the sensed information (iii) determining that the vehicle entered the passing lane; (iv) determining, by a second (MLP), a determined time to collision (TTC) to an incoming vehicle that is located at the passing lane and drives towards the vehicle; (v) determining, based on at least on the determined TTC and an allowable TTC to provide a safety parameter of the bypass; and (vi) responding to the safety parameter.
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公开(公告)号：US12272157B2
公开(公告)日：2025-04-08
申请号：US17805849
申请日：2022-06-07
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Karina Odinaev , Shay Ieizerovitch
IPC: G06V10/26 , G06V10/762 , G06V10/764 , G06V20/56 , B60W60/00
Abstract: A method for unsupervised learning of drivable space, the method may include receiving, by a processing circuit, an image of an environment of a vehicle; searching, in the image and by the processing circuit, for a drivable space within the environment of the vehicle, wherein the drivable space is associated with a statistically significant drivable space behavior; wherein the association is learnt by applying an unsupervised learning process; and responding, by the processing circuit, to a finding of the drivable space.
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