Radar data analysis and concealed object detection

    公开(公告)号:US12164058B2

    公开(公告)日:2024-12-10

    申请号:US17384430

    申请日:2021-07-23

    Applicant: Zoox, Inc.

    Abstract: Techniques are discussed herein for analyzing radar data to determine that radar noise from one or more target detections potentially conceals additional objects near the target detection. Determining whether an object may be concealed can be based at least in part on a radar noise level based on a target detection, as well as distributions of radar cross sections and/or doppler data associated with particular object types. For a location near a target detection, a radar system may determine estimated noise levels, and compare the estimated noise levels to radar cross section probabilities associated with object types to determine the likelihood that an object of the object type could be concealed at the location. Based on the analysis, the system may determine a vehicle trajectory or otherwise may control a vehicle based on the likelihood that an object may be concealed at the location.

    ADAPTIVE CROSS-CORRELATION
    5.
    发明申请

    公开(公告)号:US20220312138A1

    公开(公告)日:2022-09-29

    申请号:US17216491

    申请日:2021-03-29

    Applicant: Zoox, Inc.

    Abstract: Techniques for adaptive cross-correlation are discussed. A first signal is received from a first audio sensor associated with a vehicle and a second signal is received from a second audio sensor associated with the vehicle. Techniques may include determining, based at least in part on the first signal, a first transformed signal in a frequency domain. Additionally, the techniques include determining, based at least in part on the second signal, a second transformed signal in the frequency domain. A parameter can be determined based at least in part on a characteristic associated with at least one of the vehicle, an environment proximate the vehicle, or one or more of the first or second signal. Cross-correlation data can be determined based at least in part on one or more of the first transformed signal, the second transformed signal, or the parameter.

    ROBUST CLOCK SYNCHRONIZATION OVER COMPUTER NETWORK

    公开(公告)号:US20220255653A1

    公开(公告)日:2022-08-11

    申请号:US17248755

    申请日:2021-02-05

    Applicant: Zoox, Inc.

    Abstract: Techniques for facilitating a robust clock synchronization across a computer network that presumes network jitter exists are discussed herein. A first device and a second device transceive a plurality of sets of time-synchronization messages to synchronize a synchronization clock of the second device to a first clock of the first device. The second device calculates a smoothing of time delay data of a plurality of sets. The time delay data is associated with a transmission duration of time-synchronization messages of the sets of the plurality. The second device sets a synchronization clock based on a time at the first device and the smoothed time delay data.

    Reducing noise in sensor data
    8.
    发明授权

    公开(公告)号:US11194027B1

    公开(公告)日:2021-12-07

    申请号:US16550153

    申请日:2019-08-23

    Applicant: Zoox, Inc.

    Abstract: Sensors, including time-of-flight sensors, may be used to detect objects in an environment. In an example, a vehicle may include a time-of-flight sensor that images objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. Sensor data generated by the time-of-flight sensor can include noise. In some examples, the sensor data is filtered by comparing a measured intensity value to a threshold intensity value. The threshold intensity value can be determined on a per-pixel basis using depth information and/or intensity information for a corresponding image frame.

    LIDAR RING LENS RETURN FILTERING
    9.
    发明申请

    公开(公告)号:US20210199764A1

    公开(公告)日:2021-07-01

    申请号:US17181960

    申请日:2021-02-22

    Applicant: Zoox, Inc.

    Abstract: A LIDAR sensor assembly includes a laser light source to emit laser light, and a light sensor to produce a light signal in response to sensing reflections of the laser light emitted by the laser light source from a reference surface that is fixed in relation to the LIDAR sensor assembly. A controller of the LIDAR sensor assembly can process a plurality of samples of reflected light signals, process the samples to remove erroneous readings, and then provide accurate distance measurement. The system can use low-pass filters, or other components, to filter the plurality of samples to enable the “actual,” or primary, reflected light signal (i.e., light signal reflected off of a surface in an environment external to the sensor assembly, as opposed to extraneous, internal reflections off of lenses or other components or noise) to be identified and an accurate time of flight to be calculated.

    Intensity and Depth Measurements in Time-of-Flight Sensors

    公开(公告)号:US20200158876A1

    公开(公告)日:2020-05-21

    申请号:US16198208

    申请日:2018-11-21

    Applicant: Zoox, Inc.

    Abstract: Sensors, including time-of-flight sensors, may be used to detect objects in an environment. In an example, a vehicle may include a time-of-flight sensor that images objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. The sensor may generate first image data at a first configuration and second image data at a second configuration. The first image data and the second image data may be combined to provide disambiguated depth and improved intensity values for imaging the environment. In some examples, the first and second configurations may have different modulation frequencies, different integration times, and/or different illumination intensities. In some examples, configurations may be dynamically altered based on depth and/or intensity information of a previous frame.

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