MACHINE LEARNING FRAMEWORK FOR VISUAL TRACKING

    公开(公告)号:US20200160550A1

    公开(公告)日:2020-05-21

    申请号:US16192137

    申请日:2018-11-15

    发明人: Shawn HUNT

    摘要: A method of analyzing autonomous vehicle data comprising recording a video of a vehicle environment utilizing one or more vehicle cameras, identifying corner points of objects in the video, identifying a forward-tracked location of one or more corner points in each frame from an earlier frame to a later frame of the recorded video played in forward, identifying a reverse-tracked location of one or more corner points in each frame from the later frame to the earlier frame of the recorded video played in reverse, comparing the forward-tracked location of the earlier frame and reverse-tracked location of the later frame, and adjusting a descriptor defining characteristics of one or more pixels of the corner point in response the comparison indicating an error rate exceeding a threshold.

    Vehicle Camera System
    3.
    发明申请

    公开(公告)号:US20180343399A1

    公开(公告)日:2018-11-29

    申请号:US15605435

    申请日:2017-05-25

    摘要: A method for creating high dynamic range (HDR) images with an HDR camera system. The method includes capturing with a camera of the HDR camera system a plurality of camera exposures. The method also includes creating a first HDR image from a first subset of the plurality of camera exposures, each exposure of the first subset having a different exposure value. The method further includes creating a second HDR image from a second subset of the plurality of camera exposures, the second subset including at least one exposure from the first subset and at least one additional exposure captured more recently than the exposures of the first subset, each exposure of the second subset having a different exposure value.

    SYSTEMS AND METHODS FOR CALIBRATING A RADAR SYSTEM

    公开(公告)号:US20240118386A1

    公开(公告)日:2024-04-11

    申请号:US17961706

    申请日:2022-10-07

    发明人: Shawn HUNT

    IPC分类号: G01S7/40 G01S13/89

    CPC分类号: G01S7/40 G01S13/89

    摘要: A method for calibrating a radar system comprising one or more radar sensors includes defining, for a given calibration iteration from among a plurality of calibration iterations, one or more operational characteristics of the one or more radar sensors and generating a range-azimuth map based on radar data generated by the one or more radar sensors. The method includes identifying a reference set of pixels from among the plurality of pixels, where the reference set of pixels is associated with a reference object, determining whether a set of intensity values associated with the reference set of pixels satisfies an intensity condition, and adjusting the one or more operational characteristics of the one or more radar sensors in response to the set of intensity values not satisfying the intensity condition.

    Vehicle Localization System
    6.
    发明申请

    公开(公告)号:US20190204831A1

    公开(公告)日:2019-07-04

    申请号:US15860973

    申请日:2018-01-03

    IPC分类号: G05D1/00 G05D1/02

    摘要: A method for localizing and navigating a vehicle on underdeveloped or unmarked roads. The method includes: gathering image data with non-hyperspectral image sensors and audio data of a current scene; classifying the current scene based on the gathered image data and audio data to identify a stored scene model that most closely corresponds to the current scene; and setting spectral range of hyperspectral image sensors based on a spectral range used to capture a stored scene model that most closely corresponds to the current scene.