Accuracy of a Neural Network (NN)
    91.
    发明申请

    公开(公告)号:US20250086465A1

    公开(公告)日:2025-03-13

    申请号:US18466784

    申请日:2023-09-13

    Inventor: Igal Raichelgauz

    Abstract: A method that is computer implemented for improving an accuracy of a neural network (NN) used for classification, the method includes obtaining a signature generated by a signature generator, the signature represents at least a part of a sensed information unit (SIU); calculating, by a controller, a distance between the signature and a reference signature that is associated with an error; and determining, by the controller, that the signature is associated with the error when the distance does not exceed a distance threshold. The reference signature is a cluster signature that represents a cluster of signatures, the cluster of signatures includes (i) first signatures that are determined, during a supervised learning process associated with at least partially autonomous driving, to be associated with the error; and (ii) second signatures that are generated during an unsupervised learning process for the autonomous driving scenario, and exhibit a defined similarity with the first signatures.

    A METHOD FOR DETERMINING A DIMENSION OF AN OBJECT

    公开(公告)号:US20250029400A1

    公开(公告)日:2025-01-23

    申请号:US18354630

    申请日:2023-07-18

    Inventor: Igal Raichelgauz

    Abstract: A method for calculating a dimension of an object, the method comprises: (a) receiving an image that was acquired by a 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 row-location contact point estimate represents a contact between the object and a road on which the vehicle is positioned; (c) determining a vehicle camera pitch angle correction and an actual vehicle camera pitch angle, wherein the vehicle camera pitch angle correction, once applied, will cause the road lanes boundaries to be parallel to each other in a real world; (d) calculating the distance between the vehicle and the object based the determined values; and (e) determining the dimension of the object based on the focal length of the vehicle camera, a corresponding dimension of the object within the image and the distance between the vehicle camera and the object.

    ACCURATE BOX LOCALIZATION FOR AUTOMATIC TAGGING SYSTEM USING PHYSICAL GROUND TRUTH

    公开(公告)号:US20250026375A1

    公开(公告)日:2025-01-23

    申请号:US18355370

    申请日:2023-07-19

    Inventor: Igal Raichelgauz

    Abstract: A method for segmentation-based generation of bounding shapes, the method may include obtaining bounding shapes that are indicative of objects, the objects were captured in a sensed information unit; generating a cropped image for each bounding shape; segmenting each cropped image to a cropped image background and a cropped image foreground; and generating, for each cropped image, an updated bounding shape that are indicative of dimensions of the cropped image foreground of the cropped image, to provide updated bounding shapes.

    Context based lane prediction
    95.
    发明授权

    公开(公告)号:US12159466B2

    公开(公告)日:2024-12-03

    申请号:US17805847

    申请日:2022-06-07

    Inventor: Tom Tabak

    Abstract: A method for context based lane prediction, the method may include obtaining sensed information regarding an environment of the vehicle; providing the sensed information to a second trained machine learning process; and locating one or more lane boundaries by the second trained machine learning process. The second trained machine learning process is generated by: performing a self-supervised training process, using a first dataset, of a first machine learning process to provide a first trained machine learning process; wherein the first trained machine learning process comprises a first encoder portion and a first decoder portion; replacing the first decoder portion by a second decoder portion to provide a second machine learning process; and performing an additional training process, using a second dataset that is associated with lane boundary metadata, of the second machine learning process to provide a second trained machine learning process.

    Camera based distance measurements
    96.
    发明授权

    公开(公告)号:US12142005B2

    公开(公告)日:2024-11-12

    申请号:US17500882

    申请日:2021-10-13

    Inventor: Igal Raichelgauz

    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.

    Configuring an active suspension
    99.
    发明授权

    公开(公告)号:US12049116B2

    公开(公告)日:2024-07-30

    申请号:US17449443

    申请日:2021-09-29

    CPC classification number: B60G17/0165 B60G2400/80 B60G2400/90 G06N20/00

    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.

    PREDICTION OF PEDESTRIAN ENTERING THE DRIVABLE SPACE

    公开(公告)号:US20240239376A1

    公开(公告)日:2024-07-18

    申请号:US18339986

    申请日:2023-06-22

    CPC classification number: B60W60/0015 B60W2554/4029

    Abstract: A method for unregulated pedestrian step down (PSD) alert, the method may include (i) receiving, by a vehicle computerized system, a unregulated PSD indicators that are indicative of unregulated PSD situations; (ii) obtaining sensed information regarding an environment of the vehicle; (iii) processing the sensed information, wherein the processing comprises searching for at least one of the unregulated PSD indicators; and (iv) autonomously determining, when finding the at least one of the unregulated PSD identifiers, that the vehicle is approaching a situation in which a pedestrian is expected to step down into a drivable space within the environment of the vehicle. Wherein the autonomously determining triggering a response to the finding, the response is an immediate response and is executed by at least the vehicle computerized system.

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