Research on Kalman Filtering Method Fusion Based on Deep Learning
Abstract
Research on Kalman Filtering Method Fusion Based on Deep Learning
Incoming article date: 10.11.2025This article analyzes the limitations of the standalone use of Kalman filters in complex dynamic systems and systematizes modern advances in the integration of deep learning methods. Practical aspects of the combined application of deep learning and Kalman filters are explored, demonstrating improved accuracy and reliability of solutions under dynamic conditions, noisy environments, and complex environmental factors. Finally, promising directions for the development of multisensor data fusion methods are outlined.
Keywords: deep learning, integrated navigation, multi-source data fusion, Kalman filter, extended Kalman filter