Simultaneous diagnosis and shape estimation from a perceptual system derived from range sensors

    公开(公告)号:US11164015B2

    公开(公告)日:2021-11-02

    申请号:US15974436

    申请日:2018-05-08

    IPC分类号: G06K9/00 B60W50/02

    摘要: Systems, methods, and devices for estimating a shape of an object based on sensor data and determining a presence of a fault or a failure in a perception system. A method of the disclosure includes receiving sensor data from a range sensor and calculating a current shape reconstruction of an object based on the sensor data. The method includes retrieving from memory a prior shape reconstruction of the object based on prior sensor data. The method includes calculating a quality score for the current shape reconstruction by balancing a function of resulted variances of the current shape reconstruction and a similarity between the current shape reconstruction and the prior shape reconstruction.

    Detecting Foliage Using Range Data
    2.
    发明申请

    公开(公告)号:US20190080184A1

    公开(公告)日:2019-03-14

    申请号:US16184680

    申请日:2018-11-08

    摘要: A system for detecting and identifying foliage includes a tracking component, a tracking parameters component, and a classification component. The tracking component is configured to detect and track one or more features within range data from one or more sensors. The tracking parameters component is configured to determine tracking parameters for each of the one or more features. The tracking parameters include a tracking age and one or more of a detection consistency and a position variability. The classification component is configured to classify a feature of the one or more features as corresponding to foliage based on the tracking parameters.

    MULTI-OBJECT TRACKING
    5.
    发明公开

    公开(公告)号:US20230282000A1

    公开(公告)日:2023-09-07

    申请号:US17684509

    申请日:2022-03-02

    摘要: At a first timestep, one or more first objects can be determined in a first fusion image based on determining one or more first radar clusters in first radar data and determining one or more first two-dimensional bounding boxes in first camera data. First detected objects and first undetected objects can be determined by inputting the first objects and the first radar clusters into a data association algorithm, which determines first probabilities and adds the first radar clusters and the first objects to one or more of first detected objects or first undetected objects by determining a cost function. The first detected objects and the first undetected objects can be input to a first Poisson multi-Bernoulli mixture (PMBM) filter to determine second detected objects, second undetected objects and second probabilities. The second detected objects and the second undetected objects can be reduced based on the second probabilities determined by the first PMBM filter and the second detected objects can be output.

    DEPTH MAP GENERATION
    6.
    发明申请

    公开(公告)号:US20220390591A1

    公开(公告)日:2022-12-08

    申请号:US17337664

    申请日:2021-06-03

    摘要: A computer includes a processor and a memory storing instructions executable by the processor to receive radar data from a radar, the radar data including radar pixels having respective measured depths; receive camera data from a camera, the camera data including an image frame including camera pixels; map the radar pixels to the image frame; generate respective regions of the image frame surrounding the respective radar pixels; for each region, determine confidence scores for the respective camera pixels in that region; output a depth map of projected depths for the respective camera pixels based on the confidence scores; and operate a vehicle including the radar and the camera based on the depth map. The confidence scores indicate confidence in applying the measured depth of the radar pixel for that region to the respective camera pixels.