Attention-Based Kalman Filtering for Improved State Estimation in Nonlinear Systems

The proposed attention Kalman filter (AtKF) incorporates a self-attention mechanism to better capture dependencies in state sequences, improving the accuracy and robustness of state estimation in nonlinear systems compared to traditional Kalman filtering approaches.