Knowledge-based data assessment for an autonomous underwater vehicle

High quality data assessment is an important aspect of any "human-like" planning process. A knowledge-based data assessment strategy for the data available to an autonomous underwater vehicle is discussed here. This system will be the key to extracting, from system sensors, the relevant information needed for the completely autonomous planning, guidance, and control of Eave-East, the untethered, test-bed submersible at the Marine Systems Engineering Laboratory at the University of New Hampshire.