Vehicle collision avoidance
    2.
    发明授权

    公开(公告)号:US11054835B2

    公开(公告)日:2021-07-06

    申请号:US16360596

    申请日:2019-03-21

    Abstract: Embodiments include devices and methods for vehicle collision avoidance. A processor of the vehicle may receive lidar sensor data comprising one or more points including a distance and a direction from the vehicle to the one or more points. The processor may determine a velocity constraint for each of the one or more points based on the distance and direction from the vehicle to the one or more points. Based on a navigation instruction, the processor may determine one or more velocity solutions that satisfy the one or more velocity constraints. The processor may select a velocity solution from the determined one or more velocity solutions based on the navigation instruction, and may adjust a vehicle velocity based on the selected velocity solution.

    Vehicle Collision Avoidance
    3.
    发明申请

    公开(公告)号:US20180136669A1

    公开(公告)日:2018-05-17

    申请号:US15607975

    申请日:2017-05-30

    Abstract: Embodiments include devices and methods for vehicle collision avoidance. A processor of the vehicle may receive sensor data comprising one or more points. The processor may determine a distance and a direction from the vehicle to the one or more points. The processor may determine a velocity constraint for each of the one or more points based on the determined distance and direction from the vehicle to the one or more points. Based on a navigation instruction, the processor may determine one or more velocity solutions that satisfy the one or more velocity constraints. The processor may select a velocity solution from the determined one or more velocity solutions based on the navigation instruction, and may adjust a vehicle velocity based on the selected velocity solution.

    State and position prediction of observed vehicles using optical tracking of wheel rotation

    公开(公告)号:US10706563B2

    公开(公告)日:2020-07-07

    申请号:US15980300

    申请日:2018-05-15

    Abstract: Various embodiments may include methods of using image data to estimate motion of a vehicle observed within camera images, such as images captured by a vehicle navigation system of a host vehicle. Various embodiments may include a camera capturing a sequence of images including the observed vehicle, and a processor performing image processing to identify a wheel of the observed vehicle, and determining a rate of rotation of the wheel based on changes in orientation of the wheel between at least two images within the sequence of images. The processor may further determine a speed of the observed vehicle based on the wheel's rate of rotation and diameter. The processor may further determine a direction of travel and/or turning rate of the observed vehicle by determining relative angles of wheels of the observed vehicle in at least one image.

    State and Position Prediction of Observed Vehicles Using Optical Tracking of Wheel Rotation

    公开(公告)号:US20190355132A1

    公开(公告)日:2019-11-21

    申请号:US15980300

    申请日:2018-05-15

    Abstract: Various embodiments may include methods of using image data to estimate motion of a vehicle observed within camera images, such as images captured by a vehicle navigation system of a host vehicle. Various embodiments may include a camera capturing a sequence of images including the observed vehicle, and a processor performing image processing to identify a wheel of the observed vehicle, and determining a rate of rotation of the wheel based on changes in orientation of the wheel between at least two images within the sequence of images. The processor may further determine a speed of the observed vehicle based on the wheel's rate of rotation and diameter. The processor may further determine a direction of travel and/or turning rate of the observed vehicle by determining relative angles of wheels of the observed vehicle in at least one image.

    TRAJECTORY DETERMINATION IN A DRONE RACE
    9.
    发明申请

    公开(公告)号:US20190354116A1

    公开(公告)日:2019-11-21

    申请号:US15984181

    申请日:2018-05-18

    Abstract: Aspects may provide navigation assistance to guide a robotic vehicle through a course defined by a plurality of gates each including a fiducial marker that encodes a location, an ordering, and a pose of the corresponding gate. In some implementations, an optimal trajectory may be generated through the course and used to determine whether to provide navigation assistance to the robotic vehicle. The optimal trajectory may include a reference path that extends through openings formed in center portions of the gates, and may be used to create a virtual tunnel indicating a maximum distance that the robotic vehicle may deviate from various points along the reference path. If the robotic vehicle deviates from the optimal trajectory by more than the distance while traversing the course, navigation assistance may be provided to the robotic vehicle.

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