AUTO-LABELING SENSOR DATA FOR MACHINE LEARNING

Solutions are provided for auto-labeling sensor data for machine learning (ML). An example includes: determining a platform's own position; recording, from a sensor aboard the platform, sensor data comprising a sensor image; receiving position data for at least one intruder object (e.g., a near...

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Bibliographic Details
Main Authors Warren, Michelle D, Evans, Nick S, Staudinger, Tyler C, Muir, Eric R
Format Patent
LanguageEnglish
Published 28.07.2022
Subjects
AEROPLANES
AIRCRAFT
AVIATION
CALCULATING
COMPUTING
COSMONAUTICS
COUNTING
HANDLING RECORD CARRIERS
HELICOPTERS
PERFORMING OPERATIONS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
TRANSPORTING
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Summary:Solutions are provided for auto-labeling sensor data for machine learning (ML). An example includes: determining a platform's own position; recording, from a sensor aboard the platform, sensor data comprising a sensor image; receiving position data for at least one intruder object (e.g., a nearby airborne object); based at least on the position data for the intruder object and the platform's position, determining a relative position and a relative velocity of the intruder object; based at least on the relative position and a relative velocity of the intruder object and a field of view of the sensor, determining an expected position of the intruder object in the sensor image; labeling the sensor image, wherein the labeling comprises annotating the sensor image with a region of interest and an object identification; and training an artificial intelligence (AI) model using the labeled sensor image.
Bibliography:Application Number: US202117552138