Tracking Objects in Image Frames
    1.
    发明申请

    公开(公告)号:US20250131733A1

    公开(公告)日:2025-04-24

    申请号:US18493274

    申请日:2023-10-24

    Inventor: Itzhak Wilf

    Abstract: A method for tracking an object in one or more image frames is disclosed. The method includes: obtaining a first image frame including the object; determining a first set of key points of the object in the first image frame and a first set of descriptors associated with the first set of key points; determining a second set of key points from the first set of key points and a second set of descriptors from the first set of the descriptors; and generating a bounding box of the object based on the second set of key points and descriptors.

    LEARNING LANE GEOMETRY BY AERIAL AND GROUND PERSPECTIVES

    公开(公告)号:US20250029209A1

    公开(公告)日:2025-01-23

    申请号:US18356152

    申请日:2023-07-20

    Inventor: Igal Raichelgauz

    Abstract: A method for lane detection, the method includes (a) determining, by a lane detection neural network (NN) and based on locations of one or more road lanes within an aerial image, locations of the one or more road lanes on a ground vehicle acquired (GVA) image; and (b) responding to the determining of the locations of the one or more road lanes on the GVA image. The lane detection NN was trained to perform aerial-images-to-GVA-images conversion. The aerial image was generated by a first NN, based in the GVA image. The first NN was trained to perform GVA-images-to-aerial-images conversion. The GVA image was acquired by a two dimensional camera of a ground vehicle. The one or more locations of the one or more road lanes within the aerial image are provided by a second NN that was trained to perform lane detection in arial images.

    Construction area alert for a vehicle based on occurrence information

    公开(公告)号:US12139149B2

    公开(公告)日:2024-11-12

    申请号:US17302587

    申请日:2021-05-06

    Abstract: A method for generating at least one construction area indicator, the method may include receiving by a vehicle computerized system, construction area indicators; wherein a construction area indicator is indicative of a construction area element; obtaining sensed information regarding an environment of the vehicle; processing the sensed information, wherein the processing comprises searching for one or more construction area indicators of the construction area indicators; wherein the construction area element is selected out of (i) a construction area object and (ii) a construction area situation; autonomously determining, when finding at least one of the one or more construction area identifiers, that the vehicle is driving towards a construction area or is within the construction area; and generating an alert when determining that the vehicle is driving towards the construction area or is within the construction area.

    Providing a prediction of a radius of a motorcycle turn

    公开(公告)号:US12110075B2

    公开(公告)日:2024-10-08

    申请号:US17817936

    申请日:2022-08-05

    CPC classification number: B62J45/20 B62J27/00 B62J50/21 G05D1/0212

    Abstract: A method for providing a prediction of a radius of a motorcycle turn, the method may include determining that the motorcycle is about to turn; predicting values of multiple radius of turn impacting (RTI) parameters; wherein the multiple RTI parameters are selected out of a group of parameters, wherein the selection was made during a machine learning training process, and the group of parameters comprises motorcycle kinematic parameters; determining, based on the determined values of the multiple RTI parameters, the estimated radius of the motorcycle turn; and performing a driving related operation based on the estimated radius of the motorcycle turn.

    Child forward collision warning
    6.
    发明授权

    公开(公告)号:US12054177B2

    公开(公告)日:2024-08-06

    申请号:US17443303

    申请日:2021-07-23

    CPC classification number: B60W60/0027 G06N5/02 B60W2554/4029

    Abstract: A method for child forward collision warning, 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, one or more children within the environment; classifying each child of the one or more children to a class; predicting, using a machine leaning process, a future behavior of the one or more children and an impact of the future behavior of the one or more children on a future progress of the vehicle; wherein the predicting of each child of the one or more children is responsive to a class of the child and to the situation; and responding to the predicting.

    REDUCING IDENTIFICATION LIMITATIONS
    7.
    发明公开

    公开(公告)号:US20240119722A1

    公开(公告)日:2024-04-11

    申请号:US18482005

    申请日:2023-10-05

    Inventor: Shir Tibor

    CPC classification number: G06V10/82 B60W30/00 B60W2420/42

    Abstract: A method for overcoming a detection limitation of a neural network, the method includes obtaining a sensed information unit that captures an object; obtaining an indication for a detection limitation of the neural network with respect to the object, wherein the detection limitation of the neural network prevents the neural network from generating a neural network output that is indicative of the object with at least a desirable certainty; feeding the sensed information unit to the neural network to provide a neural network output; and controlling a detection of the object by the neural network based on an indication that the object is captured in the sensed information unit.

    AUGMENTED DRIVING RELATED VIRTUAL FORCE FIELDS

    公开(公告)号:US20240083463A1

    公开(公告)日:2024-03-14

    申请号:US18510550

    申请日:2023-11-15

    CPC classification number: B60W60/0016 G06V20/58 B60W60/0013 B60W2554/80

    Abstract: A method for augmented driving related virtual fields, the method includes (a) obtaining object information regarding one or more objects located within an environment of a vehicle; wherein the object information comprises spatial and temporal information extracted from a set of sensed information units (SIUs) of the environment of the vehicle that were acquired at different points in time; and (b) determining, by a processing circuit, and based on the object information, one or more virtual fields of the one or more objects, wherein the determining of the one or more virtual fields is based on a virtual physical model, wherein the one or more virtual fields represent a potential impact of the one or more objects on a behavior of the vehicle, wherein the virtual physical model is built based on one or more physical laws.

    Highway exit alert
    10.
    发明授权

    公开(公告)号:US11783705B2

    公开(公告)日:2023-10-10

    申请号:US17304550

    申请日:2021-06-22

    Abstract: A method for generating the at least one highway exit indicator, the method may include receiving video information and location information obtained during driving sessions of the plurality of vehicles; determining, based on the location information, multiple suspected highway exit events; selecting video information segments, wherein each selected video information segment is acquired before a suspected highway exit event and in timing proximity to the suspected highway exit event; and applying a machine learning process on at least some of the selected video information segments to find the at least one highway exit indicator.

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