Ultra-High-Precision 2D Indoor Positioning Using Inertial Information Only
This paper presents the development of an innovative indoor localization system that employs a self-rotating inertial sensor for direction estimation and an LSTM-based deep learning model for distance estimation, demonstrating significant improvements in direction and distance estimation accuracy.