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Computer surpasses human pilot; professional aviator falls short.

In Abu Dhabi, United Arab Emirates, a drone equipped with autonomous technology has triumphed over seasoned human drone pilots in a race, marking a milestone that was once imagined as a product of futuristic experiments.

Aircraft Victory Over Human Expertise: Professional Pilot Falls Short
Aircraft Victory Over Human Expertise: Professional Pilot Falls Short

Computer surpasses human pilot; professional aviator falls short.

In a groundbreaking moment for the world of drone racing, an autonomous drone developed at the Technical University of Delft (Netherlands) triumphed over experienced human pilots in a real competition setting at the Falcon Cup of the Drone Champions League (DCL) and the A2RL Drone Championship in Abu Dhabi on April 14, 2023.

The victory marked a significant milestone in the development of artificial intelligence in the field of autonomous flight. The autonomous drone reached a top speed of 95.8 km/h during the competition, demonstrating both its speed and precision.

The track for the competition featured 22 closely spaced gates and numerous turns, posing high demands on technology and reaction speed. The software used in the drone is designed to run on low-performance hardware, a crucial advantage for use in compact flying machines.

The AI-controlled drone's system uses a "Deep Neural Network" called "Guidance and Control Nets," originally developed by the European Space Agency (ESA). The network analyzes the onboard camera's image data in fractions of a second and precisely steers the drone through the course.

The artificial intelligence controlling the drone was developed using Reinforcement Learning, a method based on learning through trial and error. The TU Delft team improved the training method and the evaluation of aerodynamic data for the drone, contributing to its success.

The A2RL Grand Challenge was held during the events mentioned above, with the autonomous drone competing against three experienced former champions of the DCL. The win was not only a testament to the advancements in autonomous racing technology but also a significant step towards the integration of AI in competitive sports.

The victory of the autonomous drone is the first of its kind in real competition conditions. Previously, a similar success was achieved by a team from the University of Zurich (Switzerland), but under controlled laboratory conditions on a custom track. This latest win, however, took place under the conditions of a real tournament against human pilots, further emphasizing its significance.

The European Space Agency provided support for the development of this autonomous drone, and the Micro Air Vehicle Laboratory of TU Delft is a close research partner of ESA, specializing in flight tests. The hardware for the drone was provided by the organizers, and the team adapted the software on-site.

The Abu Dhabi Autonomous Racing League (A2RL) is associated with the Drone Champions League and highlights advancements in autonomous racing technology. However, detailed factual summaries or specifics about the 2023 event are not extensively documented in the available search results. For more comprehensive details on this event, it may be necessary to consult official DCL press releases, specialized drone sport news websites, or direct announcements from the teams involved in 2023.

This win not only showcases the potential of autonomous drones in competition settings but also opens up new possibilities for their use in various industries, from search and rescue missions to package delivery services. The future of drone racing is undoubtedly an exciting one.

The victory of the autonomous drone, controlled by artificial intelligence, showcases the potential of combining advanced technology and AI in competition settings, creating new opportunities for its applications in various industries. The AI system, utilizing Reinforcement Learning and a "Deep Neural Network" named "Guidance and Control Nets," proved its effectiveness not only in controlled laboratory conditions but also in real tournament settings against human pilots.

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