9 avril 2020 | International, Aérospatial
By: Valerie Insinna
WASHINGTON — Last week's deal between Boeing and the U.S. Air Force on a fix for the KC-46 could pave the way for the tanker to refuel other aircraft without a person needed to manually control the process, a top service official said Thursday.
On April 2, Boeing agreed to fix the KC-46's troubled Remote Vision System by creating an overhauled RVS 2.0 with new hardware and software. Air Force acquisition executive Will Roper told reporters those changes would include the addition of 4K high-definition cameras that will display imagery in color as well as modern processors and LiDAR (light detecting and ranging) sensors that will help improve depth perception.
“A proper RVS like that is right on the doorstep to autonomy,” Roper said. “All you have to do is take that data that tells the world inside the jet the reality of geometries between the airplane and the boom outside the jet. Once you have that, you simply need to translate it into algorithms that allow the tanker to tank itself.”
The KC-46's Remote Vision System has been a thorn in the side of the aircraft program since 2017, when issues with the system were first discovered. The RVS is basically a suite of cameras, sensors and software that is supposed to allow boom operators sitting inside the aircraft to safety steer the boom into the aircraft needing fuel. But in certain conditions, the system produces distorted imagery that increases the risk of the boom hitting another aircraft.
The new LIDAR system will be key to fixing that problem, said Roper, who likened it to a backup camera on a car that also provides cues to a driver for parallel parking or assessing whether a vehicle is aligned flush to a curb.
“We'll have something very similar to that for the boom operators, so telling them are they left, right and how close are they getting to the airplane,” he said. “[It's] something very intuitive and easy to work with, and I think that will help significantly with them understanding their distance [from the other aircraft] because LIDAR is extremely accurate.”
Because Boeing is locked into a firm fixed-price contract for the development of the KC-46, it will have to pay for the upgrade to RVS 2.0 out of its own pocket, as the Air Force maintains that the current system does not meet requirements.
But the service is so confident in the prospect of using the RVS 2.0 as a stepping stone to an autonomous tanker that it included an option in last week's agreement to fund the development of technologies that enable autonomous or semiautonomous refueling.
“We have added an engineering change proposal into the deal with a not-to-exceed threshold of $55 million, so that when RVS 2.0 is done, we can then take the next step beyond 2.0 to develop those autonomy algorithms and install them if we think we can certify them for safe use,” Roper said.
“We took that step because, one, we're excited about being on the doorsteps of autonomy and, [two], we wanted to send a clear signal in the deal that this is our tanker for the future,” he said.
If the Air Force decides to move forward with those design changes, more will need to be done to hammer out the contractual details, said Jamie Burgess, Boeing's KC-46 program manager.
“There was no commitment one way or another on who pays for what. But there's definitely a strong partnership between Boeing and the Air Force as far as developing this technology,” he said.
Autonomous refueling capability has been of increasing interest to the Air Force over the past few years, as sensing and artificial intelligence technologies grow by leaps and bounds. Boeing previously signaled it could include such technology as part of a menu of potential upgrade options for the KC-46, as reported by FlightGlobal in 2018.
11 juin 2021 | International, Terrestre
Textron announced its Cottonmouth 6×6 armoured vehicle as an entrant for the US Marine Corps' (USMC) Advanced Reconnaissance Vehicle (ARV) requirement in May, revealing that the vehicle had entered validation testing at the National Automoti...
23 mai 2019 | International, Autre défense
By BARRY ROSENBERG Can artificial intelligence, machine learning, and agile development help clear the massive backlog? WASHINGTON: The Pentagon hopes that a newly announced $75 million, 24-month contract will clear up its chronically backlogged security clearance system. The plan: develop prototype software that uses artificial intelligence to analyze routine data instead of humans running laborious background checks, freeing investigators to concentrate on the genuinely critical cases. How big is the mess? Hundreds of thousands of would-be federal employees and defense contractors wait an average of 221 days for a Secret clearance and 534 days for a Top Secret clearance, according to the National Background Investigations Bureau. The clearance backlog makes a day in line at the DMV look fast. It's a problem that costs the government millions of dollars and, in many ways, wastes the talent of countless individuals who give up and seek employment elsewhere. “The bottom line is we need to get cleared people to work in their job faster; we're not doing that job well,” said Terry Carpenter, the Program Executive Officer for the National Background Investigation Service, part of the Defense Information Systems Agency (DISA). “Whether you're in an agency, the federal government, or an industry partner .... we need to make sure those companies and agencies can get those people to work because they have their clearance.” The DoD's Defense Security Service (DSS), which runs the clearance process, and DISA, which runs much of the military's networks, jointly awarded the contract to Perspecta Enterprise Solutions of Herndon, VA, using the Other Transaction Authority process to bypass much of the traditional acquisition bureaucracy. Perspecta was formed in 2018 through the merger of the public sector business of DXC Technology, Vencore, and KeyPoint Government Solutions. Over the next 24 months, Perspecta will create a prototype “architecture” that can be scaled up to a full-sized security-check system, with two main features: Data ingestion and analytics using techniques like machine learning and natural language processing, which are both subsets of artificial intelligence; and A “software factory” to develop new vetting capabilities as needed. This will employ a software methodology called DevSecOps (Development-Security-Operations) that quickly delivers functionality that is then constantly improved through user feedback, while injecting security into all interactive phases of development, so usable software is delivered in weeks instead of months or years. Software development will be guided by a framework known as SAFe, which is an online knowledge base made available by an organization called Scaled Agile. The “factory” will continually develop, test, secure, and deploy new software in a government-run cloud, using what's called continuous authority to operate so its products can be used immediately, without a laborious certification process. The new architecture is being designed to transform three mission areas in the clearance process: initiation, investigation, and adjudication. Explained Carpenter: “There are several activities around the initiation part. [For example], you're a new employee coming in or a transfer coming in from a different agency. The initiation process engages with the subject and collects their information in a standard form that feeds the process. Then there's the investigation process. Under the old process, a full investigative package was prepared, which took a lot of time and labor. That was handed over for adjudication to an appropriate business function with the credentials to do the adjudication, and they would make the decision on that clearance. “What we are looking at today is continuous vetting as a way to use data to minimize the amount of labor force that has to knock on doors to get information. The more we can get done with data, the more effective we are at delivering the capability of a clearance, the more confidence we have in it, and the less it costs.” Data analytics will also facilitate continuous vetting throughout the work life of cleared individuals to address possible insider threats. “With this data-driven model, we can get into a continuous evaluation model rather than the current model, which is periodic investigation that looks at somebody every 5 or 10 years,” said Patricia Stokes, director, Defense Vetting Service, DSS. “We can utilize technology available today to initiate processes and capabilities to (gather) information on a real-time basis (to determine) your need for access and your risk.” https://breakingdefense.com/2019/05/dod-awards-contract-to-break-its-security-clearance-logjam
14 septembre 2022 | International, Aérospatial
This contract will be managed by Safran Helicopter Engines USA, from its Grand Prairie, TX facility and its office located in Daleville, AL supporting the training fleet located at Fort...