ENVIRONMENTAL MODEL BASED ON AUDIO

    公开(公告)号:US20230027584A1

    公开(公告)日:2023-01-26

    申请号:US17813589

    申请日:2022-07-19

    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.

    Child Forward Collision Warning
    2.
    发明申请

    公开(公告)号:US20220024488A1

    公开(公告)日:2022-01-27

    申请号:US17443303

    申请日:2021-07-23

    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.

    BYPASS ASSISTANCE
    3.
    发明申请

    公开(公告)号:US20220028273A1

    公开(公告)日:2022-01-27

    申请号:US17443318

    申请日:2021-07-23

    Abstract: A method for bypass alert, the method may include obtaining sensed information about an environment of the first vehicle, by one of more vehicle sensors of a first vehicle; wherein the environment of the first vehicle comprises a passing lane and a current lane in which the first vehicle is positioned; determining whether a driver initiates a bypass of another vehicle to be bypassed, wherein the determining is made by a first machine learning process, and is based on at least one out of first vehicle parameters and the sensed information about the environment; determining that the first vehicle entered the passing lane; determining, by a second machine learning process, a determined time to collision (TTC) to an incoming vehicle that is located at the passing lane and drives towards the first vehicle; determining, based on at least on the determined TTC and an allowable TTC to provide a safety parameter of the bypass; and responding to the safety parameter.

    PROVIDING A PREDICTION OF A ROLL ANGLE OF A MOTORCYCLE

    公开(公告)号:US20230410357A1

    公开(公告)日:2023-12-21

    申请号:US18338307

    申请日:2023-06-20

    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.

    ENSEMBLE OF NARROW AI AGENTS FOR AUTONOMOUS EMERGENCY BREAKING

    公开(公告)号:US20230041279A1

    公开(公告)日:2023-02-09

    申请号:US17817928

    申请日:2022-08-05

    Abstract: A method for A method for automatic emergency braking (AEB) of a vehicle, the method may include obtaining sensed information regarding an environment of the vehicle and regarding a motion of the vehicle; determining an occurrence of current situation, based on the sensed information; selecting, based on the current situation, a selected narrow AI agent out of multiple narrow AI agents; wherein different narrow AI agents are trained, using a machine learning process, to perform AEB related decisions at different scenarios; wherein the selected narrow AI agent is associated with the occurrence of the current situation; processing, by the selected narrow AI agent, at least one out of (a) at least a first part of the sensed information, and (b) an outcome of a pre-processing of at least a second part of the sensed information; wherein the processing results in a AEB related decision; and responding to the AEB related decision, wherein the responding comprises at least one out of (a) executing the AEB related decision, and (b) suggesting executing the AEB related decision.

    HIGHWAY EXIT ALERT
    8.
    发明申请

    公开(公告)号:US20220028265A1

    公开(公告)日:2022-01-27

    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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