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公开(公告)号:US20220111862A1
公开(公告)日:2022-04-14
申请号:US17445312
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, which 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; selecting, based on a predefined decision, a selected sub-set of narrow artificial intelligence (AI) agents; and calculating one or more driving related feature. The calculating may include applying the selected sub-set of narrow AI agents on the sensed information.
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公开(公告)号:US20220027734A1
公开(公告)日:2022-01-27
申请号:US17443251
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: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:US11827215B2
公开(公告)日:2023-11-28
申请号:US16835318
申请日:2020-03-31
Applicant: AUTOBRAINS TECHNOLOGIES LTD.
Inventor: Igal Raichelgauz , Roi Saida
IPC: B60W30/09 , G06N3/04 , G06V20/58 , G06V40/10 , G06F18/214 , G06V10/25 , G06V10/764 , G06V10/44
CPC classification number: B60W30/09 , G06F18/2148 , G06N3/04 , G06V10/25 , G06V10/454 , G06V10/764 , G06V20/58 , G06V40/103 , B60W2554/4029
Abstract: A method for driving-related object detection, the method may include receiving an input image by an input of an object detector; and detecting, by an object detector, objects that appear in the input image. The detecting includes searching for (i) a first object having a first size that is within a first size range and belongs to a four wheel vehicle class, (ii) a second object having a second size that is within a second size range and belongs to a subclass out of multiple four wheel vehicle subclasses, (iii) a pedestrian, and (iv) a two wheel vehicle; wherein a maximum of the first size range does not substantially exceed a minimum of the second size range.
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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: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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