Nouvel avion de combat F-35 – Lockheed Martin va injecter 40 millions de dollars à Genève 

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  December 4, 2020 | International, Aerospace

  This company wants to launch satellites into space via drone

  Nathan Strout WASHINGTON — Could drones hold the answer to putting satellites on orbit faster? Space logistics company Aevum is betting on it with its new Ravn X drone, which it built in the hopes of launching rockets into orbit every three hours. “Aevum is completely reimagining access to space,” said Jay Skylus, Aevum's founder and chief executive, said in a statement unveiling the new launch solution Dec. 3. “U.S. leadership has identified the critical need for extremely fast access to low Earth orbit. We're faster than anybody. “Through our autonomous technologies, Aevum will shorten the lead time of launches from years to months, and when our customers demand it, minutes,” he added. Founded in 2016, the company has been developing its product in stealth mode for years. On Dec. 3, they officially unveiled the new Ravn X autonomous launch solution ― an 80-foot long drone designed to launch small payloads into low Earth orbit. The company has yet to conduct its first test flight but is working toward airworthiness certification. Leaders hope to launch a payload for the military before the end of 2021. “We have a small launch vehicle that's more or less designed from scratch to be reusable and for responsive space access,” Skylus told C4ISRNET in an interview. “We do this by operating this sort of three stage launch vehicle stack. The first stage is an unmanned aircraft that is completely autonomous. The second and third stages are rocket systems.” Following take off, the drone rises to between 30,000 and 60,000 feet, where the rocket separates and ignites, launching the payload into orbit. Ravn X can take off and land horizontally on any airstrip at least one mile long. “The entire system is designed for a turnaround time and response time of about 180 minutes,” Skylus explained. The idea of launching satellites into space from the air isn't a new concept. For example, Northrop Grumman's Pegasus rocket ― designed to be launched into orbit from a carrier aircraft ― has been used for Defense Advanced Research Projects Agency, Air Force and NASA missions since the 1990s, with the most recent mission taking place in October 2019. A more recent entrant into the air-launch-to-orbit arena is Virgin Orbit's LauncherOne rocket. The company's first test flight, which failed to reach orbit, was conducted in May 2020. Aevum thinks of itself as taking the concept one step further by adding autonomy to the launch process. “This entire process is more or less fully autonomous, and this allows us to basically reduce the cost of labor that's required by about 90 percent,” said Skylus. Aevum's approach also gets at one of the most frustrating issues with launch: weather. In 2018, the Defense Advanced Research Projects Agency announced the DARPA Launch Challenge, where small launch companies were asked to show that they could put a payload into space within just 30 days. While about 50 companies applied, by 2019 their were only three companies remaining in the competition. By 2020, there was just one: Astra Space. The company came close to achieving its goal, ultimately failing after inclement weather forced them to scrub multiple launch attempts. Ravn X is largely impervious to those issues. “Because of the architecture, we're really not dependent on weather and those types of things. We expect to be available more than 96 percent of the year,” said Skylus. The company is already drawing attention from the Department of Defense. Ravn X's first mission will be the ASLON-45 mission for the U.S. Space Force, a $5 million contract. With that mission, the focus is on showing how the company can get a payload into orbit in 24 hours or less, said Skylus. That launch is expected to be complete before the end of 2021. In addition, the company has received a Phase II Small Business Innovation Research award, a classified contract, and is one of eight company's to receive a $986 million indefinite delivery, indefinite quantity contract for Orbital Services Program-4. “I'm excited to see the bold innovation and responsiveness in development today by our small launch industry partners to support emerging war fighter needs” said Lt. Col. Ryan Rose, Chief of the Space and Missile Systems Center's Small Launch and Targets Division, in a statement coordinated with Aevum's announcement. “The U.S. Space Force is proactively partnering with industry to support U.S. space superiority objectives. Having a robust U.S. industry providing responsive launch capability is key to ensuring the U.S. Space Force can respond to future threats.” The Pentagon has been pushing industry for responsive launch solutions, ensuring that they can place payloads into orbit with little notice. Aevum's focus on software and automation gives them an edge in meeting those elusive responsive launch requirements, Skylus said. “The responsive space launch type of problem has been a problem for several decades now, and the government has been seeking a solution to this. While others, our peers, are trying to tackle this from a technology/engineering perspective, Aevum is really tackling the problem from a system level perspective,” said Skylus. That's meant taking proven hardware solutions and applying autonomous software solutions to the ground processes and mission assurance elements. “If you look at our financials and things like that, we really do look more like a software company as opposed to a launch company,” said Skylus. “Which is great, because that means we're profitable right out of the gate.” For Aevum, the focus is on being that dependable, responsive launch service, and that may come at a premium for prospective customers, including the Pentagon. “We're not looking to be the lowest cost provider. That was never something that we claimed to be,” said Skylus. “Our focus has been: How do we make sure that we can go when our customers need to go? “Our niche market is going to be composed of customers like the Department of Defense who can't afford to wait a week to gather intel ... Or a customer like a commercial constellation customer who if they're down for over a week, they're going to lose more in revenue than they would be willing to pay for a launch,” he continued. “Those are the customers that we're really targeting.” https://www.c4isrnet.com/battlefield-tech/space/2020/12/03/this-company-wants-to-launch-satellites-into-space-via-drone/

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  September 29, 2024 | International, Land

  Crypto Scam App Disguised as WalletConnect Steals $70K in Five-Month Campaign

  Malicious Android app steals $70K in cryptocurrency by posing as WalletConnect. Over 150 victims impacted.

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  September 8, 2020 | International, Aerospace

  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/