Inverse radar sensor model and evidential grid mapping processors

    公开(公告)号:US11994582B2

    公开(公告)日:2024-05-28

    申请号:US17472809

    申请日:2021-09-13

    CPC classification number: G01S13/931 G01S13/726 G01S2013/93274

    Abstract: An apparatus includes an inverse radar sensor model processor and a grid mapping processor. The inverse radar sensor model processor receives radar sensor data for a time k from a radar sensor, generates object data based on the radar sensor data, and calculates instantaneous masses at the time k for each cell in a field of view (FOV) of the radar sensor based on the object data and a sensor characteristic. The inverse radar sensor model processor outputs the calculated instantaneous masses to the grid mapping processor, which also receives accumulated masses for each cell in the FOV for a time period 0:k−1. An accumulated mass represents a combination of instantaneous masses for the cell at each time increment in the time period 0:k−1. The grid mapping processor generates updated accumulated masses for a time period 0:k.

    Method and Apparatus for Automatic Exposure

    公开(公告)号:US20230100077A1

    公开(公告)日:2023-03-30

    申请号:US17491382

    申请日:2021-09-30

    Abstract: A method for automatic exposure (AE) control is provided that includes receiving statistics for AE control for an image from an image signal processor (ISP) coupled to an image sensor generating the image, computing an exposure value at a current time t (EV(t)) using a cost function based on target characteristics of an image, wherein computation of the cost function uses the statistics, and computing AE settings for the image sensor based on EV(t).

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