Variational Bayesian Adaptive KalmanNet for Intelligent Vehicle Localization Using GNSS/IMU Integration
Accurate and reliable localization is essential for the safe deployment of intelligent vehicles (IVs). Global navigation satellite system (GNSS)/inertial measurement unit (IMU) fusion based on Bayesian filtering remains the most practical solution due to its low cost and broad applicability. However, classical filterin...