Python package for the evaluation of odometry and SLAM
Embedded Firmware for the CATS Flight Computers
Visual-intertial-odometry system for UAVs
FW-NKF: Frequency-Weighted Neural Kalman Filters -- Official implementation. Learnable IIR filtering of Kalman innovations with spectral supervision for robust state estimation under frequency-localized sensor noise.
Neural-aided IMU navigation for GPS-denied UAV flight. LSTM + RLS adaptive head + velocity-only Kalman filter. 0.259 m/s velocity error after 30s GPS denial on EuRoC MH_05.
🌟 Develop EvoToken-DLM, an innovative language model enhancing diffusion with soft token distributions for improved performance and flexibility.
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