Called the Multi-Mode Sensor Seeker (MMSS), the sensor is a mix of high-definition cameras, mid-wave infrared sensors and laser-radar (LADAR) technology. It will be placed on a robotic helicopter called Fire Scout. Carrying advanced automatic target recognition software, the sensor prototype will allow Fire Scout to autonomously identify small boats on the water, reducing the workload of Sailors operating it from control stations aboard Navy ships.
“Sailors who control robotic systems can become overloaded with data, often sifting through hours of streaming video searching for a single ship,” said Ken Heeke, program officer in ONR’s Naval Air Warfare and Weapons Department. “The automatic target recognition software gives Fire Scout the ability to distinguish target boats in congested coastal waters using LADAR, and it sends that information to human operators, who can then analyze those vessels in a 3-D picture.”
“The 3-D data gives you a leg up on target identification,” said Dean Cook, principal investigator for the MMSS program at Naval Air Warfare Center Weapons Division (NAWCWD). “Infrared and visible cameras produce 2-D pictures, and objects in them can be difficult to automatically identify. With LADAR data, each pixel corresponds to a 3-D point in space, so the automatic target recognition algorithm can calculate the dimensions of an object and compare them to those in a database.”
The algorithms have been successfully tested in shore-based systems against vessels at sea. The software is being integrated into a BRITE Star II turret by a team from NAWCWD, Raytheon, FLIR Systems, BAE Systems and Utah State University for airborne testing aboard a manned test helicopter. The flight assessment will be conducted against groups of approximately seven small boats in a military sea range off the California coast later this summer.
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