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    USING MAPPED ELEVATION TO DETERMINE NAVIGATIONAL PARAMETERS
    2.
    发明申请
    USING MAPPED ELEVATION TO DETERMINE NAVIGATIONAL PARAMETERS 有权

    公开(公告)号：US20210118168A1

    公开(公告)日：2021-04-22

    申请号：US17247846

    申请日：2020-12-26

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Ishay Golinsky ,  Iddo Hanniel ,  Moshe Shenfeld ,  Yael Hacohen

    IPC: G06T7/70 ,  G01C21/32 ,  G05D1/02 ,  G06K9/00 ,  G08G1/16

    Abstract: A system for navigating a host vehicle may include a at least one processing device. The at least one processing device may be programmed to receive, from an image capture device, at least one image representative of an environment of the host vehicle. The at least one processing device may also be programmed to analyze the at least one image to identify an object in the environment of the host vehicle. The at least one processing device may also be programmed to determine a location of the host vehicle. The at least one processing device may also be programmed to receive map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle. The at least one processing device may also be programmed to determine a distance from the host vehicle to the object based on at least the elevation information. The at least one processing device may further be programmed to determine a navigational action for the host vehicle based on the determined distance.

    USING MAPPED LANE WIDTH TO DETERMINE NAVIGATIONAL PARAMETERS
    4.
    发明申请
    USING MAPPED LANE WIDTH TO DETERMINE NAVIGATIONAL PARAMETERS 有权

    公开(公告)号：US20220146276A1

    公开(公告)日：2022-05-12

    申请号：US17579716

    申请日：2022-01-20

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Ishay Golinsky ,  Iddo Hanniel ,  Moshe Shenfeld ,  Yael Hacohen

    IPC: G01C21/36 ,  G01C21/00 ,  G01C21/16 ,  G06V20/56 ,  G06V10/772

    Abstract: A system for navigating a host vehicle may include a at least one processing device. The at least one processing device may be programmed to receive, from an image capture device, at least one image representative of an environment of the host vehicle. The at least one processing device may also be programmed to analyze the at least one image to identify an object in the environment of the host vehicle. The at least one processing device may also be programmed to determine a location of the host vehicle. The at least one processing device may also be programmed to receive map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle. The at least one processing device may also be programmed to determine a distance from the host vehicle to the object based on at least the elevation information. The at least one processing device may further be programmed to determine a navigational action fir the host vehicle based on the determined distance.

    EGO MOTION-BASED ONLINE CALIBRATION BETWEEN COORDINATE SYSTEMS
    6.
    发明申请
    EGO MOTION-BASED ONLINE CALIBRATION BETWEEN COORDINATE SYSTEMS 有权

    公开(公告)号：US20230117253A1

    公开(公告)日：2023-04-20

    申请号：US18086251

    申请日：2022-12-21

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： ASSAF MOLAD ,  Moshe Shenfeld ,  Amit Hochman ,  Haim Shachor ,  Yotam Stern ,  Yuval Sharon

    IPC: G06T7/70 ,  G06T7/20 ,  G06V20/56

    Abstract: The present disclosure relates to systems and methods for calibrating a multi-camera navigation system for a vehicle. In one implementation, at least one processing device may receive first and second image frames acquired by a first camera onboard the vehicle; receive first and second image frames acquired by a second camera onboard the vehicle; determine a first ego-motion signal, including an indication of a change in position of the first camera relative to capture times associated with the first and second image frames acquired by the first camera; determine a second ego-motion signal, including an indication of a change in position of the second camera relative to capture times associated with the first and second image frames acquired by the second camera; and determine a relative orientation between the first camera and the second camera based on the first ego-motion signal and the second ego-motion signal.

    SIGN BACKSIDE MAPPING AND NAVIGATION
    7.
    发明申请
    SIGN BACKSIDE MAPPING AND NAVIGATION 有权

    公开(公告)号：US20220289239A1

    公开(公告)日：2022-09-15

    申请号：US17824355

    申请日：2022-05-25

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Moshe Shenfeld ,  Gideon Wachtel ,  Ori Segel

    IPC: B60W60/00 ,  G05D1/02 ,  G01C21/00 ,  G01C21/30 ,  B60W30/095

    Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a first image captured by a forward-facing camera and a second image captured by a rearward-facing camera and as the host vehicle travels along a road segment in a first direction; detect a semantic feature represented in the first image and a semantic feature represented in the second image, the semantic features being associated with predetermined object type classifications; identify position descriptors associated with the first semantic feature and the second semantic feature; receive position information indicative of positions of the forward-facing and rearward-facing cameras when the first and second images were captured; and cause transmission of drive information including the position descriptors and the position information to a remotely-located entity.

    Systems and methods for detecting vehicle wheel slips
    8.
    发明授权
    Systems and methods for detecting vehicle wheel slips 有权

    公开(公告)号：US12174026B2

    公开(公告)日：2024-12-24

    申请号：US17756857

    申请日：2021-06-22

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Moshe Shenfeld ,  Gilad Oskar

    IPC: B60W30/02 ,  B60W10/18 ,  B60W10/20 ,  B60W10/22 ,  B60W30/18 ,  B60W50/00 ,  B60W50/14 ,  B60W60/00 ,  G01C21/00 ,  G01C21/34

    Abstract: The present disclosure relates to systems and methods for identifying a wheel slip condition. In one implementation, a processor may receive a plurality of image frames acquired by an image capture device of a vehicle. The processor may also determine based on analysis of the images one or more indicators of a motion of the vehicle; and determine a predicted wheel rotation corresponding to the motion of the vehicle. The processor may further receive sensor outputs indicative of measured wheel rotation associated with a wheel; and compare the predicted wheel rotation to the measured wheel rotation for the wheel. The processor may additionally detect a wheel slip condition wheel based on a discrepancy between the predicted wheel rotation and the measured wheel rotation; and initiate at least one navigational action in response to the detected wheel slip condition associated with the wheel.

    SYSTEMS AND METHODS FOR MAP-BASED REAL-WORLD MODELING
    9.
    发明公开
    SYSTEMS AND METHODS FOR MAP-BASED REAL-WORLD MODELING 审中-公开

    公开(公告)号：US20230195122A1

    公开(公告)日：2023-06-22

    申请号：US18112741

    申请日：2023-02-22

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Moshe Shenfeld ,  Ruth Chapman ,  Iddo Hanniel ,  Yael Hacohen ,  Ishay Golinsky

    IPC: G05D1/02 ,  G06V20/58 ,  G06V20/56

    CPC classification number: G05D1/0212 ,  G06V20/58 ,  G06V20/588 ,  G05D2201/0213

    Abstract: A system for correlating drive information from multiple road segments is disclosed. In one embodiment, the system includes memory and a processor configured to receive drive information from vehicles that traversed a first road segment and vehicles that traversed a second road segment. The processor is configured to correlate the drive information from the vehicles to provide a first road model segment representative of the first road segment and a second road model segment representative of the second road segment. The processor correlates the first road model segment with the second road model segment to provide a correlated road segment model if a drivable distance between a first point associated with the first road segment and a second point associated with the second road segment is less than or equal to a predetermined distance threshold, and stores the correlated road segment model as part of a sparse navigational map.

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