Research Summaries

Back Collected Autonomously, Naval Data for Identifying Discrepancies (CANDID)

Fiscal Year 2018
Division Research & Sponsored Programs
Department Modeling, Virtual Environments & Simulation Institute
Investigator(s) McDowell, Perry L.
Sponsor Space & Naval Warfare Systems Center-Pacific (Navy)
Summary Tens of thousands of different elements comprise a ship, from the smallest screw to the entire skin of the ship, each have differing inspection requirements. These requirements are very burdensome for Sailors. Our area of interest will be the topside of a ship, where we will need to do aerial data collection. As drones become lighter and cheaper, and optical / light detection and ranging (LIDAR) / other non-destructive testing (NDT) sensors more powerful, the Navy should be able to leverage COTS equipment and software to alleviate the inspection burden on its Sailors. This effort will take a look at what that effort would look like and deliver a prototype that can address this requirement within a year. NPS' part in this will focus on what the current requirements are topside maintenance and understand what sensors would need to be incorporated onto the platform in order to meet that requirement.
Keywords Automation Maintenance UAV
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal