ARTIFICIAL-INTELLIGENCE-BASED WATERWAY INFORMATION SYSTEM

Patent №

US 11,620,523

Granted

2023-04-04

Filed 2022

Owner

TRABUS

Lab

AI components

4

ml · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17720782

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.

Machine learningKnowledge representationPlanningEvolutionary computationG06N 3/08B63B 79/40G01C 21/203G06N 3/04G06N 3/045G06N 3/0464G06N 3/09G06Q 10/047+3 more

AI classification

Knowledge representation0.99
Planning0.98
Machine learning0.96
Evolutionary computation0.57
Vision0.09
AI hardware0.03
Natural language0.00
Speech0.00

Ownership

TRABUS

assignment · 596010240

Assignors

CELANO, JOSEPH, SATHIARAJ, DAVID, HO, ERIC, SMITH, ANDREW NOLAN, ROHLI, ERIC VINCENT

On an employer assignment, the assignors are typically the inventors.

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