Evaluating AI Use for Navigation in Commercial and Aerial Flights
DOI:
https://doi.org/10.58445/rars.3183Keywords:
Aerospace Navigation, Artificial Intelligence (AI), Autonomous FlighAbstract
This paper reviews research on the use of artificial intelligence (AI) in aerospace navigation, focusing on how these technologies are currently being used in unmanned aerial vehicles (UAVs). By analyzing 10 peer-reviewed studies and articles with various topics like drones and passenger air taxis, this review showcases both the promise and current gaps of using AI in aerospace application. AI technologies are now allowing UAVs to avoid collisions, coordinate in multi-agent missions, and navigate without GPS. AI-enhanced systems are also emerging in satellites for autonomous orbit determination and robot maintenance and in commercial aircraft for predictive maintenance and air traffic control. Despite these advancements, current limitations such as high computational demands, lack of real environment testing, and concerns about reliability and safety persist. Ultimately, this paper provides knowledge about AI strengths and weaknesses that helps enable the future of autonomous passenger air flight.
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Copyright (c) 2025 Aidan Zhang
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