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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Bibliographische Detailangaben
Hauptverfasser:	OKUR, Batuhan, GOPALAKRISHNAN, Roshan
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	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
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Beschreibung
Zusammenfassung:	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.