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公开(公告)号：US20230297815A1
公开(公告)日：2023-09-21
申请号：US18184616
申请日：2023-03-15
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Nitzan DAHAN , Lior BLECH , Igal Raichelgauz
IPC: G06N3/0455 , G06N3/0985
CPC classification number: G06N3/0455 , G06N3/0985
Abstract: A method for generating a sparse binary representation (SBR) of neural network intermediate features (NNIFs) of a neural network (NN). The method includes (i) feeding the neural network by input information; (ii) neural network processing the input information to provide, at least, the NNIFs; (iii) SBR processing, by a SBR module, the NNIFs, to provide the SBR representation of the NNIFs; and (iv) outputting the SBR representation. The SBR module has undergone a training process that used a loss function that takes into account a sparsity of training process SBR representations.
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公开(公告)号：US20230162511A1
公开(公告)日：2023-05-25
申请号：US17810577
申请日：2022-07-01
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Roi Saida , Shay Ieizerovitch , Igal Raichelgauz
CPC classification number: G06V20/588 , G06V10/44 , G06V10/82 , G06V2201/10
Abstract: A method for lane boundary detection. The method may include obtaining an image of an environment of a vehicle. The environment may include at least one lane boundary; the images may include image segments; calculating image segment lane boundary metadata for relevant image segments. The calculating is executed by a neural network and is based on the image segments; wherein each relevant image segment comprises one or more lane boundary points candidates; wherein image segment lane boundary metadata that is related to a relevant image segment which may include (i) location information about location of the one or more lane boundary points candidates of the relevant image segment, and (ii) angular information regarding an angle between lane boundary points candidates of the image; and determining an estimate of a lane boundary of the at least one lane boundary; wherein the determining is based on the image segment lane boundary metadata of the relevant image segments; wherein the determining comprises applying a process that differs from neural network processing.
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公开(公告)号：US11593662B2
公开(公告)日：2023-02-28
申请号：US16711472
申请日：2019-12-12
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Igal Raichelgauz , Tomer Livne , Adrian Kaho Chan
Abstract: A method that may include (a) feeding multiple tagged media units to a neural network to provide, from one or more intermediate layers of the neural network, multiple feature vectors of segments of the media units; wherein the neural network was trained to detect current objects within media units; wherein the new category differs from each one of the current categories; wherein at least one media unit comprises at least one segment that is tagged as including the new object; (b) calculating similarities between the multiple feature vectors; (c) clustering the multiple feature vectors to feature vector clusters, based on the similarities; and (d) finding, out of the feature vector clusters, a new feature vector cluster that identifies media unit segments that comprise the new object.
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公开(公告)号：US20230052270A1
公开(公告)日：2023-02-16
申请号：US17819308
申请日：2022-08-11
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Adi Gotliber , ALEXANDER DIKMAN , JONATHAN COHEN
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.
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公开(公告)号：US20230037863A1
公开(公告)日：2023-02-09
申请号：US17817935
申请日：2022-08-05
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Igal Raichelgauz
IPC: B60W30/095 , G06V20/58 , G06V20/40
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.
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Patent Agency Ranking
公开(公告)号：US20220097474A1
公开(公告)日：2022-03-31
申请号：US17449443
申请日：2021-09-29
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： IGAL Raichelgauz , Karina Odinaev
IPC: B60G17/0165
Abstract: A method for configuring a configurable suspension, the method may include obtaining acquired sensed information that represent (a) one or more driving parameters of the vehicle, (b) one or more vehicle cabin disturbance parameters, (c) a configuration of a configurable suspension, and (d) a road segment that precedes the vehicle; selecting, out of multiple configurations of the configurable suspension, a selected configuration that one applied will attribute to obtain a desired human-in-vehicle comfort value; and triggering or requesting a setting of the configurable suspension to a configuration of the one or more configurations.
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公开(公告)号：US20220032914A1
公开(公告)日：2022-02-03
申请号：US17444375
申请日：2021-08-03
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： BOAZ Mell , Igal Raichelgauz
IPC: B60W30/18 , B60W60/00 , B60W50/14 , B60W40/072 , B60W40/064 , B60W40/076 , B60W30/182 , G05B13/02
Abstract: A method for off road driving, the method may include obtaining environment sensed information about an environment of a vehicle of a certain model, by one of more vehicle sensors of the vehicle and while driving over an off road path; detecting, by a machine learning process, an off road driving event; determining, by the machine learning process, a characteristic behavior of vehicles of the certain model when facing the off road driving event; and responding, at least in part by the machine learning process, to the occurrence of the off road driving event.
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公开(公告)号：US20220027735A1
公开(公告)日：2022-01-27
申请号：US17443252
申请日：2021-07-22
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： YUVAL WOLDMAN , Roi Saida
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.
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公开(公告)号：US20220026930A1
公开(公告)日：2022-01-27
申请号：US17301382
申请日：2021-03-31
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Boaz Mell , Adam Harel , Igal Raichelgauz
Abstract: A method for following a person associated with a vehicle, the method may include entering a tracking mode for following the person; when operating in the tracking mode performing at least one out of: autonomously driving an autonomous vehicle towards the person and parking in proximity to the person, and autonomously driving towards the person and picking up the person.
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公开(公告)号：US20220024479A1
公开(公告)日：2022-01-27
申请号：US17301379
申请日：2021-03-31
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor： Boaz Mell , Adam Harel , Igal Raichelgauz
Abstract: A method for generating at least one school zone indicator, the method may include receiving by a vehicle computerized system, school zone indicators, wherein the school zone indicators are indicative of school zone elements; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for one or more school zone indicators of the school zone indicators; wherein the school zone element is selected out of (i) a school zone object and (ii) a school zone situation; autonomously determining, when finding at least one of the one or more school zone identifiers, that the vehicle is driving towards a school zone or is within the school zone; and generating an alert when determining that the vehicle is driving towards the school zone or is within the school zone.
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