Evaluation device, evaluation method, and navigation control device
AssigneeSony Group Corporation
InventorsSusumu Takatsuka, Hiroki Tetsukawa
Life of this patent
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Abstract
An evaluation device according to the present technology includes an evaluation computing unit that learns to obtain deposit evaluation data as an output by machine learning using at least one of ocean topography data or fine particle component measurement data for a known seabed deposit as input data for learning, the evaluation computing unit calculating the deposit evaluation data for an evaluation target sea area by using at least one of the ocean topography data or the fine particle component measurement data for the evaluation target sea area as an input.
Claims10
An evaluation device comprising circuitry that compares reference data to measurement data to generate a probability of an existence of a seabed deposit,
- wherein the reference data is generated by machine learning,
- wherein the reference data comprises reference location data for a known seabed deposit and reference fine particle component measurement data for the known seabed deposit,
- wherein the measurement data comprises evaluation location data for a seabed deposit search area and evaluation fine particle component measurement data for the seabed deposit search area,
- wherein the reference fine particle component measurement data comprises measurement data regarding microorganisms from the known seabed deposit,
- wherein the evaluation fine particle component measurement data comprises measurement data regarding microorganisms from the seabed deposit search area, and
- wherein the circuitry outputs the generated probability of the existence of the seabed deposit as navigation information.
An evaluation method performed by circuitry of an evaluation device, the evaluation method comprising:
- performing a comparison of reference data to measurement data;
- based on the comparison, generating a probability of an existence of a seabed deposit,
- wherein the reference data is generated by machine learning,
- wherein the reference data comprises reference location data for a known seabed deposit and reference fine particle component measurement data for the known seabed deposit,
- wherein the measurement data comprises evaluation location data for a seabed deposit search area and evaluation fine particle component measurement data for the seabed deposit search area,
- wherein the reference fine particle component measurement data comprises measurement data regarding microorganisms from the known seabed deposit,
- wherein the evaluation fine particle component measurement data comprises measurement data regarding microorganisms from the seabed deposit search area;
- and
- outputting the generated probability of the existence of the seabed deposit to a shipborne navigation device.
Dependencies are inferred from the claim text.