Data writing method, recording medium, and vehicle
AssigneePanasonic Intellectual Property Management Co., Ltd.
InventorsHiroyuki Kamo, Tsubasa Miyamae, Yuji Asano
Life of this patent
Estimating the term…
Abstract
A data writing method includes obtaining and writing. In the obtaining, a trained model constructed in advance by machine learning to estimate a state of a vehicle that is one of a human-powered vehicle or an electric bicycle is obtained. In the writing, the trained model obtained in the obtaining is written, in a nonvolatile memory area of a semiconductor memory, to a third area that is different from both a first area in which a bootloader is stored and a second area in which an application that references the trained model is stored.
Claims6
A data writing method comprising:
- obtaining a trained model constructed in advance by machine learning to estimate a state of a vehicle that is one of a human-powered vehicle or an electric bicycle;
- writing, in a nonvolatile memory area of a semiconductor memory, the trained model obtained in the obtaining to a third area that is different from both a first area in which a bootloader is stored and a second area in which an application that references the trained model is stored;
- and
- controlling the vehicle by referencing the trained model stored in the third area of the semiconductor memory to execute the application stored in the second area,
- wherein the semiconductor memory comprises a plurality of semiconductor memories, and
- the plurality of semiconductor memories include a first semiconductor memory including the first area and the second area, and a second semiconductor memory including the third area.
A non-transitory computer-readable recording medium having recorded thereon a program for causing one or more processors to execute a data writing method comprising:
- obtaining a trained model constructed in advance by machine learning to estimate a state of a vehicle that is one of a human-powered vehicle or an electric bicycle;
- writing, in a nonvolatile memory area of a semiconductor memory, the trained model obtained in the obtaining to a third area that is different from both a first area in which a bootloader is stored and a second area in which an application that references the trained model is stored;
- and
- controlling the vehicle by referencing the trained model stored in the third area of the semiconductor memory to execute the application stored in the second area,
- wherein the semiconductor memory comprises a plurality of semiconductor memories, and
- the plurality of semiconductor memories include a first semiconductor memory including the first area and the second area, and a second semiconductor memory including the third area.
A vehicle that is one of a human-powered vehicle or an electric bicycle, the vehicle comprising:
- a body;
- a semiconductor memory to which data has been written by a trained model constructed in advance by machine learning to estimate a state of the vehicle, wherein the trained model is written, in a nonvolatile memory area of the semiconductor memory, to a third area that is different from both a first area in which a bootloader is stored and a second area in which an application that references the trained model is stored;
- and
- a controller that controls the vehicle by referencing the trained model stored in the third area of the semiconductor memory to execute the application stored in the second area,
- wherein the semiconductor memory comprises a plurality of semiconductor memories, and
- the plurality of semiconductor memories include a first semiconductor memory including the first area and the second area, and a second semiconductor memory including the third area.
Dependencies are inferred from the claim text.