Trust in the uncrewed systems: increasing accuracy of classification from imperfect information
09 Apr 2024
Theatre 3
AI / Data
- 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.
Chairperson
