8 septembre 2020 | International, Aérospatial

GA-ASI Demonstrates AI Driven Targeting Computer with AFRL’s Agile Condor Pod

General Atomics Aeronautical Systems, Inc., with the support of SRC Inc., successfully integrated and flew the Air Force Research Laboratory's (AFRL) Agile Condor Pod on an MQ-9 Remotely Piloted Aircraft at GA-ASI's Flight Test and Training Center in Grand Forks, North Dakota

The Agile Condor Pod provides on-board high-speed computer processing coupled with machine learning algorithms to detect, correlate, identify, and track targets of interest. With this capability, the MQ-9 is able to identify objects autonomously utilizing its on-board Electro-optical/Infrared (EO/IR) sensor and GA-ASI's Lynx Synthetic Aperture Radar (SAR).

Defense contractor SRC, Inc. developed the Agile Condor system for the Air Force Research Laboratory (AFRL), delivering the first pod in 2016. It's not clear whether the Air Force conducted any flight testing of the system on other platforms before hiring General Atomics to integrate it onto the Reaper in 2019.

The service had previously said that it expected to take the initial pod aloft in some fashion before the end of 2016.

High-powered computing at the edge enables autonomous target detection, identification and nomination at extended ranges and on-board processing reduces communication bandwidth requirements to share target information with other platforms. This is an important step towards greater automation, autonomous target detection, and rapid decision-making. GA-ASI will continue to work with AFRL to refine the capability and foster its transition to operational constructs that will improve warfighters' ability to operate in contested or denied environments.

“Sensors have rapidly increased in fidelity, and are now able to collect vast quantities of data, which must be analyzed promptly to provide mission critical information,” an SRC white paper on Agile Condor from 2018 explains. “Stored data [physically on a drone] ... creates an unacceptable latency between data collection and analysis, as operators must wait for the RPA [remotely piloted aircraft] to return to base to review time sensitive data.”

“In-mission data transfers, by contrast, can provide data more quickly, but this method requires more power and available bandwidth to send data,” the white paper continues. “Bandwidth limits result in slower downloads of large data files, a clogged communications link and increased latency that could allow potential changes in intel between data collection and analysis. The quantities of data being collected are also so vast, that analysts are unable to fully review the data received to ensure actionable information is obtained.”

This is all particularly true for drones equipped with wide-area persistent surveillance systems, such as the Air Force's Gorgon Stare system, which you can read about in more detail here, that grab immense amounts of imagery that can be overwhelming for sensor operators and intelligence analysts to scour through.

Agile Condor is designed to parse through the sensor data a drone collects first, spotting and classifying objects of interest and then highlighting them for operators back at a control center or personnel receiving information at other remote locations for further analysis. Agile Condor would simply discard “empty” imagery and other data that shows nothing it deems useful, not even bothering to forward that on.

“This selective ‘detect and notify' process frees up bandwidth and increases transfer speeds, while reducing latency between data collection and analysis,” SRC's 2018 white paper says. “Real time pre-processing of data with the Agile Condor system also ensures that all data collected is reviewed quickly, increasing the speed and effectiveness with which operators are notified of actionable information.”

At least at present, the general idea is still to have a human operator in the ‘kill chain' making decisions about how to act on such information, including whether or not to initiate a lethal strike. The Air Force has been emphatic about ensuring that there will be an actual person in the loop at all times, no matter how autonomous a drone or other unmanned vehicle may be in the future.

An Air Force Research Laboratory briefing slide showing a concept of operations for how a drone might use Agile Condor to sense and avoid threats autonomously

Still, developments such as Agile Condor will significantly reduce the amount of necessary human interaction in various parts of the targeting process, as well as general intelligence collection and initial analysis, and potentially much more, as time goes on. It could also fuse various forms of sensor data and other available intelligence together to specifically weight possible areas of interest over others and prioritize certain targets. The Air Force has also said that this system could use these capabilities to enable drones to navigate and detect and avoid potential threats automatically, including at times when its links to a control center or the GPS satellite navigation system are disrupted or blocked entirely.

Sources: Press Release; The Drive

https://www.uasvision.com/2020/09/07/ga-asi-demonstrates-ai-driven-targeting-computer-with-afrls-agile-condor-pod/

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  • Russian Company Plans New Generation Of Missiles

    16 février 2021 | International, Aérospatial

    Russian Company Plans New Generation Of Missiles

    Piotr Butowski Moscow-based GosMKB Vympel, which designs air-to-air missiles, is funding its own research on what appears to be the continuation of a short-range missile project that had been halted decades ago. In late January, the company summarized its research and development work conducted in 2020. The most interesting project appears to be its research on “shaping the appearance of a future product 300M.” This work, financed by Vympel's long-term development fund, is to lay the scientific and technical groundwork for the Russian military and increase the company's export prospects, the company says. Undoubtedly, the current izdeliye 300M (“izdeliye” means “product” in Russian) is a further development of the K-30, or K-MD, short-range missile project, launched by Vympel in 1986 as part of its work on arming the fifth-generation MiG multirole fighter, which was halted in 1994 due to a lack of funding. Later, Vympel offered the 300 project while working on how to arm the Sukhoi PAK FA (Su-57) fighter. In 2006, the company said the 300 missile could have been ready in 2013, if enough funding had been available. Gennady Sokolovsky, the head of Vympel at the time, said that the 300 missile would “significantly exceed foreign missiles of a similar type.” The 300 was to be fitted with a new Merlushka, or “lambskin,” imaging infrared seeker developed by the AOMZ tactical missile company, enabling target identification and a lock-on range twice as great as its predecessors. The dual-pulse, solid-propellant motor was to provide relatively large specific impulse (about 100s), a measure of the engine's efficiency. The 300 missile was to have jet-vane gas controls instead of spoilers placed in the engine nozzle, as is the case with the current R-74 missiles. The efficiency of the variable gas nozzle is greater than that of spoilers; moreover, the presence of spoilers in the nozzle causes a loss of thrust. Judging from the course of events, plans to resume the 300 project were not approved at the time, and the simpler R-74M2, otherwise known as izdeliye 760, was chosen as the primary close air-combat missile for the Su-57. How the current 300M project changed compared with the previous version is not known, but most likely the modifications did not alter the overall configuration. If the changes were really significant, the project would have received a new index, not just an additional M letter. Certainly, the element base in the seeker and control system is new; the engine also may be improved. Of course, the 300M missile remains at the conceptual research stage, which usually does not yet involve the actual construction of a missile. According to Vympel's announcement, another short-range missile performed “about 30 firing tests” in 2020 as part of state evaluations, the final stage of tests before the missile is approved for full-scale series production. The announcement probably refers to the R-74M2, izdeliye 760, missile, which started firing tests on April 8, 2016, and in July 2019 was submitted for state evaluations on the Su-57. The Vympel R-74M2 is a further development of the in-service R-74M izdeliye 750 with the cross-section reduced so it can be fitted inside the internal quick-launch weapons bays of the Su-57. The remaining information provided by Vympel about its 2020 research and development work is very general. The types of weapons are not named, and only the categories are defined. In the long-range air-to-air missile class, one of the missiles “completed preliminary tests to the extent sufficient for the construction documentation to be awarded the letter ‘O.'” In the parlance of the Russian defense industry, the letter “O” denotes permission to make an initial serial batch of missiles. Vympel could be referring to a new-generation heavy missile, the izdeliye 810, intended for internal carriage in the Su-57 fighter. The 810 missile, never presented to the public, began undergoing firing tests on July 6, 2017; its maximum range is estimated at 300 km (186 mi.). https://aviationweek.com/defense-space/missile-defense-weapons/russian-company-plans-new-generation-missiles

  • Contract Awards by US Department of Defense - October 30, 2019

    31 octobre 2019 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

    Contract Awards by US Department of Defense - October 30, 2019

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  • AM General unseats Oshkosh to build Joint Light Tactical Vehicle

    9 février 2023 | International, Terrestre

    AM General unseats Oshkosh to build Joint Light Tactical Vehicle

    The Army has chosen to oust incumbent Oshkosh in favor of AM General to build Joint Light Tactical Vehicles.

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