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公开(公告)号:US12065172B2
公开(公告)日:2024-08-20
申请号:US17443328
申请日:2021-07-24
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Boaz Mell , Adam Harel , Igal Raichelgauz
CPC classification number: B60W60/00274 , B60W30/0956 , B60W40/04 , B60W50/0097 , B60W60/0015 , G06N20/00 , G06V20/49 , G06V20/584
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:US12057016B2
公开(公告)日:2024-08-06
申请号:US17813589
申请日:2022-07-19
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Igal Raichelgauz , Karina Odinaev , Adam Harel
CPC classification number: G08G1/166 , B60W40/06 , B60W60/0016
Abstract: A method for providing an audio-based model of an environment of a vehicle, the method may include obtaining, during a driving session of a vehicle, sensed information about the environment of the vehicle; wherein the sensed information may include sensed audio information. The sensed information may also include at least one type of non-audio sensed information; and generating an audio-based model of the environment based, at least in part, on the sensed audio information.
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公开(公告)号:US20240233398A1
公开(公告)日:2024-07-11
申请号:US18405823
申请日:2024-01-05
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Adam HAREL , Karina Odinaev , Igal Raichelgauz , Tal Glantz , Shay Leizerovitch
CPC classification number: G06V20/58 , G06T3/60 , G06T7/70 , G06V10/74 , G06V10/774 , G06V10/82 , G06T2207/20081 , G06T2207/20084 , G06T2207/30244 , G06T2207/30261 , G06V2201/08
Abstract: A method for motorcycle roll angle robust object detection, the method includes receiving, by a processing circuit, an image of an environment of the vehicle, wherein the image was obtained by a camera associated with a motorcycle; and generating, by the processing circuit, a signature of the image; finding, by the processing circuit, using the generated signature, a matching concept data structure out of multiple concept data structures; wherein the multiple concept data structure represents images acquired at multiple roll angles of a field of view of the camera; and detecting, by the processing circuit, within the image, an object or a scenario that is associated with the matching concept data structure.
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公开(公告)号:US20240232591A1
公开(公告)日:2024-07-11
申请号:US18405500
申请日:2024-01-05
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Lior BLECH , Igal Raichelgauz
IPC: G06N3/0495
CPC classification number: G06N3/0495
Abstract: A method for generating a sparse representation of a group of neural network features, the method includes (i) obtaining a group of neural network features (NNFs); and (ii) generating a lossless and sparse representation of the group of NNF, wherein the generating includes: (a) determining, by an allocation unit and based on one or more attributes of the group of NNFs, one or more relevant sparse representation generators (SRGs) out of a set of SRGs; (b) generating, by the one or more relevant SRGs, one or more relevant sparse outputs; (c) processing the one or more relevant sparse outputs to provide the lossless and sparse representation of the group of NNFs; and (d) outputting the lossless and sparse representation of the group of NNFs.
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公开(公告)号:US20240208534A1
公开(公告)日:2024-06-27
申请号:US18396615
申请日:2023-12-26
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Adam HAREL , Karina Odinaev , Igal Raichelgauz
IPC: B60W60/00
CPC classification number: B60W60/001 , B60W2420/403 , B60W2420/408 , B60W2552/53 , B60W2554/20 , B60W2555/60 , B60W2556/35 , B60W2556/40 , B60W2556/45
Abstract: A method for driving related applications based on aerial images. The method includes (i) determining, by a processor, based on aerial map segment information and sensed environmental information, a driving control action in association the vehicle within at least the environment of the location estimate of the vehicle; (ii) determining, based on the sensed environmental information and according to the aerial map segment information, whether to perform the driving related operation within at least the environment of the location estimate of the vehicle; and (iii) responsive to determining the performance of the driving related operation, outputting information regarding the driving related operation to a control system of the vehicle.
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公开(公告)号:US20240116534A1
公开(公告)日:2024-04-11
申请号:US18459423
申请日:2023-09-01
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Igal Raichelgauz
CPC classification number: B60W60/001 , B60W40/02 , B60W50/0097 , B60W2050/0005
Abstract: A method for localized driving, the method includes (a) obtaining information about locations that are associated with multi-domain identifiers (MDIs) statistics, MDIs of each location are indicative of elements affecting a vehicle at the location; (b) obtaining an expected local path of a vehicle; (c) identifying path related locations, by a processing circuit, based on the expected local path and the information about the locations; and (d) determining, by the processing circuit, expected local path MDIs statistics for use in at least partially autonomous driving of a vehicle through the expected local path.
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公开(公告)号:US20240083431A1
公开(公告)日:2024-03-14
申请号:US18510591
申请日:2023-11-15
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Isaac Misri , Armin Biess , Julius Engelsoy , Igal Raichelgauz
IPC: B60W30/165 , G06F11/36
CPC classification number: B60W30/165 , G06F11/3688
Abstract: A method for training and testing a machine learning process, the method includes (a) learning virtual fields based on simulations of behaviors of a vehicle when faced with situations involving objects within environments of the vehicle, the virtual fields represent potential impacts of objects on the behaviors of the vehicle, wherein the learning is based on a virtual physical mode; (b) training the machine learning process to generate the virtual fields by applying a training process that uses outcomes of the simulations to provide a trained machine learning process; and (c) testing the trained machine learning process by feeding the trained machine learning process with other situations to provide test results.
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公开(公告)号:US11897497B2
公开(公告)日:2024-02-13
申请号:US17301379
申请日:2021-03-31
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Boaz Mell , Adam Harel , Igal Raichelgauz
CPC classification number: B60W50/16 , B60W60/0015 , G06V20/56 , B60W30/143 , B60W30/18009
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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公开(公告)号:US20230410357A1
公开(公告)日:2023-12-21
申请号:US18338307
申请日:2023-06-20
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Adam HAREL , Karina ODINAEY
IPC: G06T7/73
CPC classification number: G06T7/73 , G06T2207/30252 , G06T2207/20081 , G06T2207/20084
Abstract: A method for detecting a state of a motorcycle, the method includes (i) obtaining, by a camera of the motorcycle, one or images of an environment of the vehicle; wherein there is a known angular relationship between the field of view of the camera and predefined part or a vertical axis of the motorcycle; (ii) generating signatures of the one or more images; (iii) searching, using the signatures, multiple groups of concept data structures, for one or more matching concept data structures; wherein different groups of concept data structures represent images virtually acquired at different roll angles; and (iv) determining a roll angle of the motorcycle based on an outcome of the searching and the known angular relationship.
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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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