SELF-ORGANIZED LEARNING OF THREE-DIMENSIONAL MOTION DATA

A method may include capturing image data associated with an object in a defined environment at one or more points in time. The method may include capturing radar data associated with the object in the defined environment at the same points in time. The method may include obtaining, by a machine lea...

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Hauptverfasser: OKUR, Batuhan, GOPALAKRISHNAN, Roshan
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creator OKUR, Batuhan
GOPALAKRISHNAN, Roshan
description A method may include capturing image data associated with an object in a defined environment at one or more points in time. The method may include capturing radar data associated with the object in the defined environment at the same points in time. The method may include obtaining, by a machine learning model, the image data and the radar data associated with the object in the defined environment. The method may include pairing each image datum with a corresponding radar datum based on a chronological occurrence of the image data and the radar data. The method may include generating, by the machine learning model, a three-dimensional motion representation associated with the object that is associated with the image data and the radar data.
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subjects AMUSEMENTS
ANALOGOUS ARRANGEMENTS USING OTHER WAVES
APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING,CLIMBING, OR FENCING
BALL GAMES
CALCULATING
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
GAMES
HUMAN NECESSITIES
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
SPORTS
TESTING
TRAINING EQUIPMENT
title SELF-ORGANIZED LEARNING OF THREE-DIMENSIONAL MOTION DATA
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