US 11,657,591 B2
Autonomous vehicle system for intelligent on-board selection of data for building a remote machine learning model
Thomas Muehlenstaedt, Bavaria (DE); Jelena Frtunikj, Bavaria (DE); and Zach Kurtz, Pittsburgh, PA (US)
Assigned to ARGO AI, LLC, Pittsburgh, PA (US)
Filed by Argo AI, LLC, Pittsburgh, PA (US)
Filed on Jan. 15, 2021, as Appl. No. 17/150,768.
Prior Publication US 2022/0230021 A1, Jul. 21, 2022
Int. Cl. G06N 20/00 (2019.01); G06K 9/62 (2022.01); G06V 10/20 (2022.01); G05D 1/02 (2020.01)
CPC G06V 10/255 (2022.01) [G06K 9/6269 (2013.01); G06N 20/00 (2019.01); G05D 1/0221 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method for active selection of data for training a machine learning model, comprising, by an on-board computing device of an autonomous vehicle:
receiving, from a plurality of sensors of the autonomous vehicle, a plurality of unlabeled data logs;
receiving, from a remote server:
the machine learning model, and
a loss function corresponding to the machine learning model; and
for each of the plurality of unlabeled data logs:
determining, using the machine learning model, one or more predictions for that data log,
computing, based on the loss function and the one or more predictions for that data log, an importance function for that data log, and
transmitting that data log to the remote server for updating the machine learning model when a value of the importance function is greater than a threshold.