I. INTRODUCTION

II. CLASSICAL INERTIAL NAVIGATION MECHANISMS

III. LEARNING TO CALIBRATE INERTIAL SENSOR

IV. LEARNING TO CORRECT IMU INTEGRATION

V. LEARNING BASED IMU INTEGRATED POSITIONING

VI. LEARNING TO CORRECT PEDESTRIAN INERTIAL POSITIONING

VII. LEARNING TO CORRECT INERTIAL POSITIONING ON VEHICLES, UAV AND ROBOTIC PLATFORMS

VIII. LEARNING SENSOR FUSION FOR IMU INTEGRATED POSITIONING APPLICATIONS

IX. LEARNING BASED HUMAN MOTION ANALYSIS AND ACTIVITY RECOGNITION

X. DATASETS AND EVALUATION METRICS

XI. CONCLUSIONS AND DISCUSSIONS