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News archive: Destinus (Daedalean)

Every Bulletin story and press release covering Destinus (Daedalean), newest first.

Whole archive

5 items

29 February 2024 Flight tests took place at Leonardo’s PZL-Swidnik facility in Lublin, Poland, with Leonardo’s SW4 and SW4 Solo RUAS/OPH helicopters.

Leonardo and Daedalean complete flight testing of AI for advanced navigation

A year-long project equipped helicopters with cameras, computer and interface display, identifying aerial traffic including birds and drones, determining location in GPS-denied environments, and offering landing guidance.

7 December 2023 Two companies flying towards the same goal.

Xwing and Daedalean join forces to advance AI

No machine learning based safety-critical applications have made their way into the cockpit of civil aviation so far, but aviation regulators have been working on how ML fits into their design assurance processes.

24 March 2022 Eve's eVTOL will benefit from the new technical partnerships.

Technical partners join Embraer's autonomous research

The US-based Near Earth Autonomy, Iris Automation, and Ansys, as well as Switzerland's Daedalean and Brazilian's Motora.ai, are working with Embraer to accelerate the creation of innovative technologies.

4 August 2021 Daedalean develops artificial intelligence-based systems to support autonomous flight by processing data collected by various camera-based sensors.

Avidyne brings AI onboard for hazard scanning

PilotEye will be GA's first AI-based onboard pilot aid system, serving as an additional set of eyes in the cockpit providing visual detection of airborne hazards - including smaller flying objects like drones and birds.

24 March 2021 A Cessna 208 Caravan remotely piloted from a control centre over 50 miles away.

Daedalean brings machine learning to Reliable Robotics avionics

Reliable Robotics has a system for remote piloted operations with immediate applications for cargo operators. Now a new partnership team has developed advanced machine learning that can increase onboard autonomy.