Abstract: |
In various embodiments, the present disclosure relates to systems, methods, and computer-readable media for the detection of vehicle (e.g., a scooter) riding behavior. In particular, a method is described, the method including: determining first sensor data received from one or more sensors associated with a device, wherein the first sensor data is associated with a vehicle and with a time domain; determining, by the at least one processor, based on the first sensor data, second sensor data associated with a frequency domain, wherein to determine the second sensor data comprises to perform a Fourier transform on the first sensor data to determine Fourier coefficients associated with the first sensor data; and determining, by the at least one processor, based on the Fourier coefficients, using a machine learning algorithm, a type of the vehicle. |
Inventor: |
Gordon, Alan (Menlo Park, CA, US); Regmi, Sagar Kumar (Newark, CA, US) |
Applicant: |
Ford Global Technologies, LLC (Dearborn, MI, US) |
Face Assignee: |
Ford Global Technologies, LLC (Dearborn, MI, US) |
Filed: |
2018-11-07 |
Issued: |
2020-05-07 |
Claims: |
20 |
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US20200143237
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1. A device, comprising:
(5)
(2)
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9. A method, comprising:
(5)
(7)
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17. A method, comprising:
(3)
(3)
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