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Fast Adaptive Filter for Quadrotor Attitude by Ahmet Çelik is a document available to read on EtoBox.

The document presents a fast adaptive Complementary Filter for quadrotor attitude estimation during aggressive maneuvers, addressing the challenges posed by rapid motion and sensor uncertainties. Experimental validation shows that the proposed filter outperforms the Extended Kalman Filter and Error State Kalman Filter in terms of accuracy, latency, and stability. The paper details the system modeling, designed filter, and experimental results to support the effectiveness of the proposed method.

Author

Ahmet Çelik

Language

EN