Trust in the uncrewed systems: increasing accuracy of classification from imperfect information
Empower your underwater drones with human-like decision-making
Increase classification accuracy: reduce false positives and negatives with a novel Bayesian approach.
Mimic human expertise: leverage diverse information sources for more confident decisions.
Handle imperfect data: overcome limitations of traditional methods in real-world scenarios.
Traceable confidence levels: understand and trust the reasoning behind each classification.
Bridge the gap: seamlessly transition from lab-trained algorithms to operational deployment.