Learning-Based Motion Estimation for Autonomous Inspection Robots: Temporally Aligned IMU–RTK Data Fusion
This work addresses the problem of increasing the temporal resolution of robot positioning in outdoor inspection tasks by leveraging high-frequency inertial measurements. A learning-based approach is proposed to estimate incremental displacement from IMU data combined with GNSS/RTK positioning, using data collected alo...