Pirates, Beware: Navy's Smart Robocopters Will Spy You in the Crowd

on April 6, 2012 3:18 PM EDT

Multi-Mode Sensor Seeker image
This is a screen shot of imagery obtained by the Multi-Mode Sensor Seeker (MMSS), which uses automatic target recognition software to help robotic aircraft identify target boats in congested coastal waters. Sailors operating the robotic aircraft receive the image on their control station displays. Funded by the Office of Naval Research, the MMSS is a suite of high-definition mid-wave infrared and visible sensors and laser-radar technology under development for naval unmanned aircraft. (Photo: US Navy image)

Navy unmanned aircraft will be able to distinguish small pirate boats from other vessels when an Office of Naval Research (ONR)-funded sensor starts airborne tests this summer, officials said April 5.

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.

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"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."

Navy-developed target recognition algorithms aboard Fire Scout will exploit the 3-D data collected by the LADAR, utilizing a long-range, high-res, eye-safe laser. The software compares the 3-D imagery to vessel templates or schematics stored in the system's memory.

"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.

Source: Office of Naval Research

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