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The topics identified could be used for the construction of a PTS for UAS commercial pilot operations and a PTS for a UAS pilot instrument rating. The UAS commercial pilot rating would contain restrictions on the types of operations that could be flown that would be dependent on the type of UAS used. ...The UAS commercial pilot rating would contain restrictions on the types of operations that could be flown that would be dependent on the type of UAS used. The UAS type would also influence the specific training topics that would be covered. ...Consequently, the scope of this document is limited to proposing an initial framework to train and certify UAS pilots for fixed wing UAS. As the community grows, certification and training requirements will become more detailed and refined.

The United States Air Force’s 412th Test Wing’s Emerging Technologies (ET) Combined Test Force (CTF) completed the first flight test of Johns Hopkins University’s Testing of Autonomy in Complex Environments (TACE) system. As “middleware,” TACE serves as an “autonomy watchdog,” monitoring commands sent to an aircraft’s autopilot software from its autonomous artificial intelligence (AI) computer and transmitting autopilot information such as position, speed, and orientation back to the AI.

The topics identified could be used for the construction of a PTS for UAS commercial pilot operations and a PTS for a UAS pilot instrument rating. The UAS commercial pilot rating would contain restrictions on the types of operations that could be flown that would be dependent on the type of UAS used. ...The UAS commercial pilot rating would contain restrictions on the types of operations that could be flown that would be dependent on the type of UAS used. The UAS type would also influence the specific training topics that would be covered. ...Consequently, the scope of this document is limited to proposing an initial framework to train and certify UAS pilots for fixed wing UAS. As the community grows, certification and training requirements will become more detailed and refined.

The aerospace industry is facing immense challenges due to increased design complexity and higher levels of integration, particularly in the electrification of aircraft. These challenges can easily impact program cost and product time to market. System electrification and electromagnetic compatibility (EMC) have become critical issues today. In the context of 3D electromagnetics, EMC electromagnetic compatibility ensures the original equipment manufacturer (OEM) that radiated emissions from various electronic devices, such as avionics or the entire aircraft for that matter, do not interfere with other electronic products onboard the aircraft.

Dragonfly, which might be called a rotorcraft lander, is under development by the Johns Hopkins University Applied Physics Laboratory and has the appearance of an Earth-bound vertical take-off and landing (VTOL) unmanned aircraft system (UAS) or drone.

. – the leading global airspace intelligence platform for drones, and the Swiss Federal Office of Civil Aviation (FOCA) have deployed the Swiss U-space flight information management system (FIMS) for small unmanned aircraft systems (UAS) and drones.

The work may also lead to similar solutions for traditional aerospace and unmanned aircraft system (UAS) industries.

Boeing and SparkCognition are collaborating on unmanned aircraft system (UAS) traffic management (UTM) solutions that leverage artificial intelligence (AI) and blockchain technologies to track unmanned air vehicles in flight and allocate traffic corridors and routes to ensure safe, secure transportation.

Through OFFSET, DARPA envisions swarms of 250 collaborative autonomous systems – including unmanned aircraft systems (UAS) – providing critical capabilities to ground units in urban areas where challenges such as tall buildings, tight spaces, and limited sight lines constrain essential communications, sensing, maneuverability, and autonomous operations.

In repeated 72-minute flights, the unmanned aircraft system (UAS) flew with and against prevailing winds, covering distances of 29 and 21 miles, respectively.

Lockheed Martin and the Drone Racing League (DRL) is challenging the engineering community with a new twist on drone enthusiast racing competition: develop artificial intelligence (AI) technology that will enable an autonomous UAS to race a pilot-operated drone and win against human first-person view (FPV) operators. The call for advanced autonomy, dubbed the AlphaPilot Innovation Challenge, came during the TechCrunch Disrupt technology startup conference in San Francisco.

As outlined in the contract, Aitech Defense will supply an advanced, customized remote input/output (I/O) interface controller based on the company’s commercial-off-the-shelf (COTS) modular, dual-core Ai-RIO remote interface.

In its report, Deloitte points to an ongoing challenge to manage and regulate an increasingly diverse airspace and overcome significant psychological barriers of consumers.

Almost exactly seven months after Unites Technologies Corporation (UTC) completed its acquisition of Rockwell Collins (now Collins Aerospace), the aerospace conglomerate announced its merger with the Raytheon Company.

The unmanned aerial vehicle (UAV) operated in a safe and controlled environment, successfully took off, hovered, transitioned to forward flight, and then landed safely.

Through the partnership, Honeywell Aerospace plans to integrate its current avionics, navigation, fly-by-wire technologies into Vertical Aerospace’s electric vertical take-off and landing (eVTOL) vehicles.

The solutions – which have already received nationwide approval from multiple UAM operators – provide scalable and secure end-to-end infrastructure and applications to help organizations and governments manage data and capitalize on the UAM economy.

According to Airbus, the CityAirbus UAM vehicle – or “air taxi” – will initially be operated by a pilot for certification and market entry purposes; however, the aircraft is designed for fully autonomous flight once regulations are established.

AeroVironment revealed its critical role in collaborating with NASA JPL to build the “Mars Helicopter” for NASA’s Mars Exploration Program. Program officials plan to have the Mars Helicopter flying on Mars in less than three years.

The autonomous software and hardware, which was installed on an optionally piloted helicopter, executed various scenarios including automated takeoff and landing, LIDAR- and camera-based obstacle avoidance, LIDAR-based automatic landing zone selection, and low-level contour flying.