Dynamic Loading of Radar Unit Configuration Data Based on Changing Radar Parameters

    公开(公告)号:US20240004029A1

    公开(公告)日:2024-01-04

    申请号:US18468312

    申请日:2023-09-15

    Applicant: Waymo LLC

    Abstract: A method and a radar system are provided in the present disclosure. The radar system includes a radar unit having an antenna array configured to transmit and receive radar signal and a memory configured to store radar calibration parameters and radar channel parameters corresponding to the radar unit. The method provides for operation of the radar system. The radar system also includes a radar processor. The radar processor is configured to cause transmission of radar signals by the antenna array based on the radar channel parameters. The radar processor is also configured to process received radar signals based on the radar calibration parameters. The radar system further includes a central vehicle controller configured to operate a vehicle based on the processed radar signals.

    Methods and Systems for Radar Waveform Diversity

    公开(公告)号:US20230393256A1

    公开(公告)日:2023-12-07

    申请号:US17804240

    申请日:2022-05-26

    Applicant: Waymo LLC

    CPC classification number: G01S13/325 G01S2013/93273 G01S7/0234 G01S13/931

    Abstract: Example embodiments relate to techniques for implementing radar waveform diversity. A technique may involve a radar unit transmitting radar signals into an environment of a vehicle based on a code sequence that indicates a ramp direction and a phase shift for each pulse in a pulse used by the radar unit and receiving radar reflections from the environment. In some instances, the radar unit may leverage antennas in a multiple input multiple output (MIMO) arrangement to further add diversity to transmissions according to spatial code in the code sequence. The technique can further involve using a demodulator to map the environment based on the radar reflections and controlling the vehicle based on the mapping. In some instances, the code sequence is received from a system that is wirelessly providing orthogonal code sequences to multiple emitters.

    Methods and systems for radar waveform diversity

    公开(公告)号:US12196843B2

    公开(公告)日:2025-01-14

    申请号:US17804240

    申请日:2022-05-26

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to techniques for implementing radar waveform diversity. A technique may involve a radar unit transmitting radar signals into an environment of a vehicle based on a code sequence that indicates a ramp direction and a phase shift for each pulse in a pulse used by the radar unit and receiving radar reflections from the environment. In some instances, the radar unit may leverage antennas in a multiple input multiple output (MIMO) arrangement to further add diversity to transmissions according to spatial code in the code sequence. The technique can further involve using a demodulator to map the environment based on the radar reflections and controlling the vehicle based on the mapping. In some instances, the code sequence is received from a system that is wirelessly providing orthogonal code sequences to multiple emitters.

    Methods and systems for reducing vehicle sensor interference

    公开(公告)号:US11275174B2

    公开(公告)日:2022-03-15

    申请号:US16554500

    申请日:2019-08-28

    Applicant: Waymo LLC

    Abstract: A method is provided that includes a vehicle receiving data from an external computing device indicative of at least one other vehicle in an environment of the vehicle. The vehicle may include a sensor configured to detect the environment of the vehicle. The at least one other vehicle may include at least one sensor. The method also includes determining a likelihood of interference between the at least one sensor of the at least one other vehicle and the sensor of the vehicle. The method also includes initiating an adjustment of the sensor to reduce the likelihood of interference between the sensor of the vehicle and the at least one sensor of the at least one other vehicle responsive to the determination.

    Media access control scheme in radar system for autonomous vehicles

    公开(公告)号:US20210063566A1

    公开(公告)日:2021-03-04

    申请号:US16554500

    申请日:2019-08-28

    Applicant: Waymo LLC

    Abstract: A method is provided that includes a vehicle receiving data from an external computing device indicative of at least one other vehicle in an environment of the vehicle. The vehicle may include a sensor configured to detect the environment of the vehicle. The at least one other vehicle may include at least one sensor. The method also includes determining a likelihood of interference between the at least one sensor of the at least one other vehicle and the sensor of the vehicle. The method also includes initiating an adjustment of the sensor to reduce the likelihood of interference between the sensor of the vehicle and the at least one sensor of the at least one other vehicle responsive to the determination.

    Dynamic Loading of Radar Unit Configuration Data Based on Changing Radar Parameters

    公开(公告)号:US20250085389A1

    公开(公告)日:2025-03-13

    申请号:US18963234

    申请日:2024-11-27

    Applicant: Waymo LLC

    Abstract: A method and a radar system are provided in the present disclosure. The radar system includes a radar unit having an antenna array configured to transmit and receive radar signal and a memory configured to store radar calibration parameters and radar channel parameters corresponding to the radar unit. The method provides for operation of the radar system. The radar system also includes a radar processor. The radar processor is configured to cause transmission of radar signals by the antenna array based on the radar channel parameters. The radar processor is also configured to process received radar signals based on the radar calibration parameters. The radar system further includes a central vehicle controller configured to operate a vehicle based on the processed radar signals.

    Dynamic loading of radar unit configuration data based on changing radar parameters

    公开(公告)号:US12196883B2

    公开(公告)日:2025-01-14

    申请号:US18468312

    申请日:2023-09-15

    Applicant: Waymo LLC

    Abstract: A method and a radar system are provided in the present disclosure. The radar system includes a radar unit having an antenna array configured to transmit and receive radar signal and a memory configured to store radar calibration parameters and radar channel parameters corresponding to the radar unit. The method provides for operation of the radar system. The radar system also includes a radar processor. The radar processor is configured to cause transmission of radar signals by the antenna array based on the radar channel parameters. The radar processor is also configured to process received radar signals based on the radar calibration parameters. The radar system further includes a central vehicle controller configured to operate a vehicle based on the processed radar signals.

    Methods and Systems For Radar Image Video Compression Using Per-Pixel Doppler Measurements

    公开(公告)号:US20250004126A1

    公开(公告)日:2025-01-02

    申请号:US18885049

    申请日:2024-09-13

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to radar image video compression techniques using per-pixel Doppler measurements, which can involve initially receiving radar data from a radar unit to generate a radar representation that represents surfaces in the environment. Based on Doppler scores in the radar representation, a range rate can be determined for each pixel that indicates a radial direction motion for a surface represented by the pixel. The range rates and backscatter values can then be used to estimate a radar representation prediction for subsequent radar data received from the radar unit, which enables a generation of a compressed radar data file that represents the difference between the radar representation prediction and the actual representation determined for the subsequent radar data. The compressed radar data file can be stored in memory, transmitted to other devices, and decompressed and used to train models via machine learning.

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