The AI Tech That Will Stop Autonomous Drones From Crashing

As the global uncrewed aircraft systems (UAS) market is projected to nearly double by 2030, researchers at the Institute for Assured Autonomy are using artificial intelligence (AI) to safely navigate the expected surge in drone traffic below 400 feet altitude. Their AI system, designed to manage operations ranging from package delivery to emergency assistance, has shown great promise in simulated 3D airspace tests. By integrating collision avoidance and deconfliction algorithms, the system almost entirely eradicated airspace accidents. Real-world scenarios, including unpredictable conditions and 'rogue drones', were replicated using ‘noisy sensors’ and a ‘fuzzy inference system’. While the initial findings are promising, the team aims to further enhance their simulations with dynamic challenges such as weather patterns, emphasizing the importance of continuous monitoring of these autonomous algorithms.

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