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Event-driven data pipeline for ingesting, processing, and analyzing NASA Mars rover mission data. Collects photos, coordinate tracking, and mission manifests from multiple rovers using automated batch processing with Kafka-triggered workflows.
This method uses unsupervised and soft self-supervision for auditory Martian terrain classification , based on data from the Perseverance Rover. Next Up, we plan to make this system completely self-supervised with martian terrain images