The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 23, 2024

Filed:

Apr. 19, 2022
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Omar Makke, Lyon Township, MI (US);

Jeremy Lerner, Southfield, MI (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/34 (2006.01); G01C 21/36 (2006.01); H04W 4/80 (2018.01);
U.S. Cl.
CPC ...
G01C 21/3423 (2013.01); G01C 21/3446 (2013.01); G01C 21/3461 (2013.01); G01C 21/3469 (2013.01); G01C 21/3691 (2013.01); G01C 21/3697 (2013.01); H04W 4/80 (2018.02);
Abstract

The disclosure is generally directed to systems and methods for a mobile device including transmitting a request by the mobile device for a route that considers transportation modalities and route conditions, the request including location data of the mobile device, receiving a recommended route, the recommended route based on low energy hardware based classification of conditions associated with a plurality of available routes, and receiving a recommended transport modality vehicle and a list of known vehicle identifiers associated with the location data. Low energy wireless signals are received by the mobile device with low energy hardware based classifiers from a mobility vehicle including dedicated hardware including a being a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC) and/or hardware supporting a spiking neural network (SNN), the hardware receiving camera and microphone inputs.


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