Invention Publication
- Patent Title: CHARACTERISING WAVE PROPERTIES BASED ON MEASUREMENT DATA USING A MACHINE-LEARNING MODEL
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Application No.: US18363506Application Date: 2023-08-01
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Publication No.: US20240192363A1Publication Date: 2024-06-13
- Inventor: Thomas Robert Swanson , Riva Gulassa
- Applicant: X Development LLC
- Applicant Address: US CA Mountain View
- Assignee: X Development LLC
- Current Assignee: X Development LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G01S15/87
- IPC: G01S15/87 ; G01S15/89 ; G06N20/00

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.
Public/Granted literature
- US12228642B2 Characterising wave properties based on measurement data using a machine-learning model Public/Granted day:2025-02-18
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