DEVICE LOCATIONS USING MACHINE LEARNING
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United States of America Patent
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Issued Date -
Jul 18, 2024
app pub date -
May 11, 2022
filing date -
May 12, 2021
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Abstract
A method of determining device locations includes receiving a set of candidate locations in an environment and generating training data representing synthetic distance measurements between pairs of the candidate locations. The synthetic distance measurements are generated by applying random variations to the geometric distances between the candidate locations. The training data and candidate locations are used to train a machine learning model. A set of measured distances between devices are input to the trained learning model, which is used to determine a respective location in the environment of each of the devices.
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