Research on safety situation awareness and prediction technology of low-altitude traffic system integrating multi-source environmental perception data
Yifei Niu
Communication University of China, Nanjing
DOI: https://doi.org/10.59429/pest.v8i2.14485
Keywords: low-altitude traffic; multi-source perception; situation perception and prediction
Abstract
Aiming at the problems in low-altitude airspace operation such as heterogeneity and redundancy of multi-source perception data, insufficient perception accuracy in complex scenarios, and difficulties in predicting situation trends, this paper conducts research on low-altitude traffic safety situation perception and prediction by integrating multi-source environmental perception data. Data cleaning and fusion are realized by establishing a unified spatio-temporal benchmark; an air-space-ground collaborative perception network is constructed to improve perception stability; and scientific situation prediction is achieved based on airspace operation rules. The research forms a set of implementable safety management and control strategies, which effectively improve the safety of low-altitude operation and airspace utilization efficiency, and provide technical support for traffic management of low-altitude unmanned systems.
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