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:
May. 17, 2022

Filed:

Mar. 02, 2021
Applicant:

Trabus Technologies, San Diego, CA (US);

Inventors:

Joseph Celano, San Diego, CA (US);

David Sathiaraj, San Diego, CA (US);

Eric Ho, San Diego, CA (US);

Andrew Nolan Smith, San Diego, CA (US);

Eric Vincent Rohli, Baton Rouge, LA (US);

Assignee:

Trabus, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); B63B 79/40 (2020.01); G08G 3/00 (2006.01); G01C 21/20 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); B63B 79/40 (2020.01); G01C 21/203 (2013.01); G06N 3/04 (2013.01); G08G 3/00 (2013.01); B63B 2213/00 (2013.01);
Abstract

Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.


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