CLASSIFYING OBJECTS WITH ADDITIONAL MEASUREMENTS

    公开(公告)号:US20200371238A9

    公开(公告)日:2020-11-26

    申请号:US16456426

    申请日:2019-06-28

    Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

    DETECTING ANGLES OF OBJECTS
    3.
    发明申请

    公开(公告)号:US20190324147A1

    公开(公告)日:2019-10-24

    申请号:US16456132

    申请日:2019-06-28

    Abstract: A LIDAR system for use in a vehicle is provided. The LIDAR system may include at least one processor configured to control at least one light source for illuminating a field of view and scan a field of view by controlling movement of at least one deflector at which the at least one light source is directed. The at least one processor may also be configured to receive, from at least one sensor, reflections signals indicative of light reflected from an object in the field of view. The at least one processor may further be configured to detect at least one temporal distortion in the reflections signals, and determine from the at least one temporal distortion an angular orientation of at least a portion of the object.

    CLASSIFYING OBJECTS WITH ADDITIONAL MEASUREMENTS

    公开(公告)号:US20190317217A1

    公开(公告)日:2019-10-17

    申请号:US16456426

    申请日:2019-06-28

    Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

    Multipath Object Identification For Navigation

    公开(公告)号:US20240053438A1

    公开(公告)日:2024-02-15

    申请号:US18449344

    申请日:2023-08-14

    CPC classification number: G01S7/4802 G01S17/931 G01S17/42

    Abstract: A method of processing of LIDAR measurement data including: receiving successive LIDAR 3D data sets over a time from a LIDAR system moving, during the time, through space, each LIDAR 3D data set corresponding to a measurement field of view (FOV) of the LIDAR system; identifying a plurality of objects in the LIDAR 3D data sets; designating at least one of the plurality of objects as at least one potential aggressor object; tracking position of the one or more potential aggressor objects relative to the LIDAR system as the one or more potential aggressor objects move outside of the measurement FOV of the LIDAR system; and characterizing one or more of the plurality of objects as one or more multi-path object using tracked position of the one or more potential aggressor objects.

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