CrowdSeaMapping

This use case will validate how crowdsourced nautical sensor data can be processed and qualified for improving navigational safety at sea using a decentralized data acquisition and Federated Learning approach. The Federated Learning approach will prioritize what information is urgent to share with the centralized server and what can wait until connected to a low-cost communication channel. All vessels with standardized equipment can become a Federated Learning crowdsourcing participant for improving safety at sea. This approach enables different data feedback loops providing different levels of contributions to nautical charts ranging from instant high-priority warnings against hazards to generic verification of existing models and validations of improvements to models.