SYSTEM AND METHOD FOR PREDICTING DESTINATION LOCATION

A system for predicting a destination location may include one or more processors and a memory having instructions stored therein. The one or more processors may use at least one recurrent neural network to: process spatial data which may include a first set of information about origin locations and...

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Bibliographic Details
Main Authors TAN, Rui, WENG, Renrong, LIM, Xiang Hui Nicholas, HOOI, Bryan Kuen Yew, NG, See Kiong, GOH, Yong Liang, WANG, Xueou
Format Patent
LanguageEnglish
Published 08.02.2024
Subjects
GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
SURVEYING
TESTING
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Summary:A system for predicting a destination location may include one or more processors and a memory having instructions stored therein. The one or more processors may use at least one recurrent neural network to: process spatial data which may include a first set of information about origin locations and destination locations; process temporal data which may include a second set of information about times at the origin locations and the destination locations; determine hidden state data based on the spatial data and the temporal data, wherein the hidden state data may include data on origin-destination relationships; receive a current input data from a user, wherein the current input data may include an identity of the user and the current origin location of the user; and predict the destination location based on the hidden state data and the current input data.
Bibliography:Application Number: US202218256649