Observational analysis highlights flight safety improvements in low-altitude airspace, suggesting AI can enhance operational efficiency.
As a strategic emerging industry that countries around the world are competing to develop, the low-altitude economy is profoundly reshaping the overall landscape of transportation and logistics at an unprecedented speed. With the booming rise of new business forms such as drone logistics, air taxis, and emergency rescue, while these developments unleash the huge potential of economic and social value, they also pose unprecedented and severe challenges to the safe, efficient, and orderly operation of low-altitude airspace. Traditionally, the flight safety guarantee model relies on manual monitoring and static rules; however, with the sharp increase in the number of aircraft in low-altitude airspace and the highly complex and rapidly changing operational situation, this model is gradually finding it difficult to meet the actual needs in terms of response speed, processing accuracy, and coverage. With its excellent capabilities in massive data processing, complex pattern recognition, real-time situation awareness, and intelligent autonomous decision-making, artificial intelligence technology is becoming the key enabling technology and an inevitable choice to solve the dilemma of low-altitude flight safety and build a new generation of intelligent guarantee systems.
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Y. Y. Lin (2025) studied this question.