Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions

arXiv:2307.00014v2 Announce Type: replace-cross
Abstract: Inertial sensing is used in many applications and platforms, ranging from day-to-day devices such as smartphones to very complex ones such as autonomous vehicles. In recent years, the development of machine learning and deep learning techniques has increased significantly in the field of inertial sensing and sensor fusion. This is due to the development of efficient computing hardware and the accessibility of publicly available sensor data. These data-driven approaches mainly aim to empower model-based inertial …

abstract applications arxiv autonomous autonomous vehicles cs.ai cs.lg cs.ro cs.sy current deep learning deep learning techniques development devices eess.sy future machine machine learning navigation platforms sensing smartphones survey trends type vehicles