Abstract: A system and method involves detecting a trigger event during operation of an autonomous ground vehicle traveling between two physical locations; generating event sequence data from primary sensor data, secondary sensor data, spatiotemporal data, and telemetry data through operation of a reporter; communicating the event sequence data to cloud storage and raw data to a streaming database; transforming the raw data into normalized data stored in a relational database through operation of a normalizer; operating a curation system to identify true trigger events from the normalized data and extract training data by way of a discriminator; operating a machine learning model within an active learning pipeline to generate a model update from aggregate training data generated from the training data by an aggregator; and reconfiguring the navigational control system with the model update communicated from the active learning pipeline to the autonomous ground vehicle.