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公开(公告)号:US20250131735A1
公开(公告)日:2025-04-24
申请号:US18496658
申请日:2023-10-27
Applicant: AUTOBRAINS TECHNOLOGIES LTD.
Inventor: Itzhak Wilf
Abstract: A method for distance estimation of an object from a vehicle is disclosed. The method includes: obtaining an image frame including the object; identifying a first set of key points of the object from the image frame; obtaining a second set of key points that correlates to the first set of key points from a non-volatile memory; obtaining spatial information about the second set of key points from the non-volatile memory; and evaluating a distance of the object from the vehicle based on the first set of key points and the spatial information about the second set of key points.
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公开(公告)号:US20250131734A1
公开(公告)日:2025-04-24
申请号:US18496571
申请日:2023-10-27
Applicant: AUTOBRAINS TECHNOLOGIES LTD.
Inventor: Itzhak Wilf
Abstract: A method for calibration of a camera of a vehicle is disclosed. The method includes: obtaining a first image frame by the camera including an object; obtaining a second image frame by the camera including the object; determining a first set of key points of the object in the first image frame; determining a second set of key points of the object in the second image frame; obtaining a first spatial information about the first set of key points from a non-volatile memory; obtaining a second spatial information about the second set of key points from the same or a different non-volatile memory; and auto-calibrating the camera based on the first and the second spatial information.
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公开(公告)号:US12260319B2
公开(公告)日:2025-03-25
申请号:US17301612
申请日:2021-04-08
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Eli Passov
Abstract: An integrated circuit with arrays of convolution units that include hardware convolution neural network units configured to perform efficient expansion process by parallelization. The integrated circuit includes multiple building blocks that include the arrays of convolution units, inputs, and outputs t.
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公开(公告)号:US20250086961A1
公开(公告)日:2025-03-13
申请号:US18479814
申请日:2023-10-02
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Igal Raichelgauz
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. When finding an erroneous signature of the signatures, by the controller, triggering a generation of (a) a narrow AI agent configured to solve an error associated with the erroneous signature and (b) a router that routes a sensed information unit (SIU) associated with the erroneous signature to the narrow AI agent, wherein the erroneous signature, when used for the object detection, results in an object detection error.
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公开(公告)号:US12142082B1
公开(公告)日:2024-11-12
申请号:US18626076
申请日:2024-04-03
Applicant: AUTOBRAINS TECHNOLOGIES LTD.
Inventor: Igal Raichelgauz , Tomer Cohen
IPC: G06V40/30
Abstract: A method for automatically identifying faulty signatures for autonomous driving applications, the method includes receiving, by a processing circuit, a signature; matching the signature to a group of first signatures that are untagged and are randomly obtained; identifying, based on the matching, first top matching signatures; matching the signature to a group of second signatures that are untagged and are correctly or erroneously indicative of a detection of reference elements; identifying, based on the matching of the signature to the second group of second signatures, second top matching signatures; determining an overlap between the first top matching signatures and the second top matching signatures; and determining whether the signature is faulty or faultless based on the overlap.
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公开(公告)号:US12139150B2
公开(公告)日:2024-11-12
申请号:US17443315
申请日:2021-07-23
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Boaz Mell , Adam Harel , Igal Raichelgauz
IPC: B60W60/00 , B60Q9/00 , B60W50/00 , G06F18/23213 , G06F18/2431 , G06N20/00
Abstract: There may be provided a method for electrical scooter alert, the method may include sensing sensed information about an environment of a vehicle; detecting, based on the sensed information, a situation related to the environment; detecting, based on the sensed information, a electrical scooter within the environment; predicting, using a machine leaning process and based in the situation, a future behavior of the electrical scooter and an impact of the future behavior of the electrical scooter on a future progress of the vehicle; and responding to the predicting.
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公开(公告)号:US20240257378A1
公开(公告)日:2024-08-01
申请号:US18423204
申请日:2024-01-25
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Michal Nir
IPC: G06T7/60 , G06T7/12 , G06T7/194 , G06T7/50 , G06T7/70 , G06V10/26 , G06V10/82 , G06V20/56 , G06V20/58
CPC classification number: G06T7/60 , G06T7/12 , G06T7/194 , G06T7/50 , G06T7/70 , G06V10/26 , G06V10/82 , G06V20/58 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30256 , G06V20/588 , G06V2201/10
Abstract: A method that is computer implemented and for segmentation-based generation of bounding shapes, the method includes (i) obtaining a bounding shape that bounds an object captured in a sensed information unit; (ii) generating a cropped image in correspondence with the bounding shape; (iii) segmenting the cropped image to a cropped image background and a cropped image foreground; and (iv) generating an updated bounding shape in correspondence with the cropped image, using the segmentation, the updated bounding shape surrounding the cropped image foreground of the cropped image.
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公开(公告)号:US20240096106A1
公开(公告)日:2024-03-21
申请号:US18468653
申请日:2023-09-15
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Igal Raichelgauz
IPC: G06V20/58 , G06V10/82 , G08G1/0967 , H04W4/40
CPC classification number: G06V20/58 , G06V10/82 , G08G1/096766 , H04W4/40
Abstract: A method that is computer implemented and for accuracy for object detection, the method includes (i) receiving content from an information source located outside of a vehicle; (ii) obtaining object information regarding one or more objects located within an environment of the vehicle; and (iii) generating, by applying one or more machine learning models, one or more object related estimations for use in a detection of the one or more objects; wherein at least one of the obtaining and the generating is impacted by the content.
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公开(公告)号:US11840260B2
公开(公告)日:2023-12-12
申请号:US17202295
申请日:2021-03-15
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Boaz Mell , Igal Raichelgauz
CPC classification number: B60W60/0027 , B60W30/0956 , B60W50/14 , G05D1/0214 , G06V20/56 , G06V40/10 , G06V40/20 , B60W2554/402 , B60W2554/404
Abstract: A method for generating at least one non-human animal crossing indicator, the method may include receiving by a vehicle computerized system, non-human animal crossing indicators; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for one or more non-human animal crossing indicators of the non-human animal crossing indicators; wherein the non-human animal crossing element is selected out of (i) a non-human animal crossing object and (ii) a non-human animal crossing situation; autonomously determining, when finding at least one of the one or more non-human animal crossing identifiers, that the vehicle is driving towards a non-human animal crossing or is within the non-human animal crossing; and generating an alert when determining that the vehicle is driving towards the non-human animal crossing or is within the non-human animal crossing.
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公开(公告)号:US20230365155A1
公开(公告)日:2023-11-16
申请号:US18350702
申请日:2023-07-11
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Armin Biess , Isaac Misri , Julius Engelsoy , Igal Raichelgauz
IPC: B60W60/00 , B60W40/076 , B60W40/107 , B60W50/14 , G06N3/092
CPC classification number: B60W60/001 , B60W40/076 , B60W40/107 , B60W50/14 , G06N3/092 , B60W2050/146 , B60W2552/15 , B60W2554/00
Abstract: A method for field related driving, the method includes obtaining object information regarding one or more objects located within an environment of the vehicle; determining, by using one or more neural network (NNs), and based on the object information, one or more virtual elastic fields and one or more virtual inelastic fields of the one or more objects; and determining, based on the one or more virtual elastic fields and the one or more virtual inelastic fields, a virtual force for use in applying a driving related operation of the vehicle, wherein the virtual force is associated with a physical model and representing an impact of the one or more objects on a behavior of the vehicle.
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