Autonomous vehicle system for intelligent on-board selection of data for training a remote machine learning model

A system for on-board selection of data logs for training a machine learning model comprising:

• an autonomous vehicle comprising:
• a plurality of sensors,
• a processor, and
• a non-transitory computer-readable medium comprising one or more programming instructions that when executed by the processor, cause the processor to:
• receive, from the plurality of sensors, a plurality of sensor data logs corresponding to surroundings of the autonomous vehicle,
• identify one or more events within each of the plurality of sensor data logs, and
• for each of the plurality of sensor data logs:
• analyzing features of the identified one or more events within that sensor data log for determining whether that sensor data log satisfies one or more usefulness criteria for training a machine learning model, the features comprising at least one of the following:
• spatial features, temporal features, bounding box inconsistencies, or map-based features, and
• in response to determining that that sensor data log satisfies the one or more usefulness criteria for training the machine learning model, transmitting that sensor data log to a remote computing device for training the machine learning model.