Flight tests took place at Leonardo’s PZL-Swidnik facility in Lublin, Poland, with Leonardo’s SW4 and SW4 Solo RUAS/OPH helicopters.
- Leonardo put Daedalean’s cutting-edge, AI-enabled avionics systems to the test to increase safety today and to take a further step toward autonomous flight.
February 26, 2024 – Zurich – Daedalean, a developer of safety-critical and certifiable artificial intelligence systems for situational awareness and flight control, has announced the completion of flight testing of Daedalean’s visual awareness system by Leonardo, a leader in aerospace, defense, and security.
"Leonardo is working towards prudently integrating AI in its products and services through both in-house developments and cooperations. By collaborating with emerging companies on predefined use cases, we keep maturing our technology roadmaps towards a safer, affordable and sustainable flight experience," said Mattia Cavanna, Head of Technology & Innovation at Leonardo Helicopters. "Improving situational awareness through system like Daedalean's in the near future could contribute to further prevent aviation accidents and progressively enable higher degrees of autonomy to our platform."
Leonardo has shown its commitment to developing and adopting new technologies. The Leonardo Labs serve as technology hubs, connecting emerging talent from leading universities with Leonardo’s veteran experts to drive innovation and identify practical applications. Leonardo Labs pursues research in areas from materials and quantum technologies to sustainability and applied artificial intelligence.
Daedalean provides what the company terms Situational Intelligence – the ability to understand and make sense of the current environment and situation, and also anticipate and react to potential threats. Its visual awareness system employs a form of artificial intelligence called machine learning, which leverages recent increases in computer power to do more quickly and effectively what before could only be done by people.
“Daedalean is proud to bring our experience creating machine-learned algorithms for aviation to such a prominent player in the world of aviation,” said Daedalean CEO Dr. Luuk van Dijk. “It shows there is growing interest in and understanding of the benefits machine learning can bring today to increase flight safety.”
Under a Eureka Eurostars grant, the two companies collaborated on a year-long project, equipping Leonardo helicopters with Daedalean’s system – comprised of aircraft-mounted cameras, computer, and interface display – capable of identifying aerial traffic including birds and drones, determining location in GPS-denied environments, and offering landing guidance. Testing took place at Leonardo’s PZL-Swidnik facility in Lublin, Poland, from July to September 2023 with Leonardo’s SW4 and SW4 Solo RUAS/OPH helicopters. Leonardo reported the testing analysis gave outstanding results.
Daedalean has conducted joint research with regulatory agencies, including the FAA and EASA, to prove its AI-based system is certifiable to their stringent safety standards.
“Daedalean published multiple studies with regulators to evidence the fact that our machine-learned algorithms are capable of providing functions meeting and exceeding human capabilities,” Dr. van Dijk stated. “As aviators and passengers become more familiar with AI-enabled systems, a future with autonomous flight becomes more attractive for the higher safety, lower cost, and increased capacity it will deliver.”
Leonardo is well positioned to leverage its extensive experience certifying new technologies to possibly retrofit its current line and to integrate future aircraft with Daedalean’s unprecedented technology, making near-term integration of AI-enabled systems into the cockpit more of a possibility than ever.
See the video featuring the flight tests here.
About Daedalean
Daedalean is building machine-learning-based avionics systems for the civil aircraft of today and the advanced aerial mobility of tomorrow. Founded in 2016, the company has offices in Switzerland, the EU, and the US. The team of 150+ people, including 17 PhDs and 18 pilots, possesses expertise in machine learning, aviation-grade software and computing hardware engineering, flight testing, safety assessment, and certification. The company is working to certify and bring to the market the first certified AI-based product for safety-critical applications for General Aviation: Pilot Eye™, a visual traffic awareness system capable of detecting non-cooperative traffic.
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