Unmanned Maritime Vehicles Command and Control (UMV-C2)

The unmanned maritime vehicles enable persistent sensing to increase the influence and capability of the Navy with the ability to plan, re-plan and optimize its routes to perform an assigned mission. Meanwhile, the Maritime Domain Awareness Automatic Identification System (MDA/AIS) collects data of equipped vessels for the purpose of tracking their movements. This data is disseminated to other systems in support of maritime safety, security, environmental protection, law enforcement and other missions. The objective is to display and integrate data that comes from LDUUV and SHARC unmanned vehicles, and the Defense Information Systems Agency (DISA), which collects MDA/AIS data, as well as other old and new data sources on 2D and 3D maps so that command center users can get a better situational awareness of the battlefield. We tested two Google Maps library in order to combine multiple data sources both legacy and new into one viewer map on a website maintaining the functionality. The first library placed all the markers with its information on the map at the same time, but the data become to clutter and the map moved extremely slow with a lot of lag. However, this rendered the map unusable. The second library, MarkerClusterer, created and managed per-zoom-level clusters for large amount of markers, therefore it maintain functionality and usability of the website. In conclusion, it allowed command center users to view all the data on one screen thus saving time and giving the users better situational awareness.