Invention Grant
- Patent Title: Characterising wave properties based on measurement data using a machine-learning model
-
Application No.: US18363506Application Date: 2023-08-01
-
Publication No.: US12228642B2Publication Date: 2025-02-18
- Inventor: Thomas Robert Swanson , Riva Gulassa
- Applicant: TidalX AI Inc.
- Applicant Address: US CA San Ramon
- Assignee: TidalX AI Inc.
- Current Assignee: TidalX AI Inc.
- Current Assignee Address: US CA San Ramon
- Agency: Fish & Richardson P.C.
- 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
- US20240192363A1 CHARACTERISING WAVE PROPERTIES BASED ON MEASUREMENT DATA USING A MACHINE-LEARNING MODEL Public/Granted day:2024-06-13
Information query