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This review article provides an extensive analysis of drone detection and tracking methods, focusing on the comparison between Linear Kalman Filters and Nonlinear Polynomial Regression techniques. It highlights the importance of selecting appropriate methods based on measurement noise conditions and discusses the integration of artificial intelligence in detection and recognition processes. The paper includes a literature review of various state-of-the-art techniques and emphasizes the need for effective de

Author

nckhoahoc2024

Language

EN