Enhancing drone abnormal behavior detection using data fusion techniques and dynamic Bayesian network methods
Pierre Pathe,
Benjamin Pannetier,
Olivier Bartheye
Abstract:This study explores the increasingly complex domain of drone behavior and management within urban airspaces, particularly focusing on Europe's U-space framework. It highlights the critical evolution from basic drone detection to the essential identification of abnormal drone behaviors in the challenging and variable environments of city skies. Additionally, the paper explores the advancement of drone movement management through the application of data fusion techniques. These techniques integrate diverse senso… Show more
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