Deep Learning for Inertial Positioning: A Survey

arXiv:2303.03757v3 Announce Type: replace-cross
Abstract: Inertial sensors are widely utilized in smartphones, drones, robots, and IoT devices, playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based positioning is essential in various applications, including personal navigation, location-based security, and human-device interaction. However, low-cost MEMS inertial sensors' measurements are inevitably corrupted by various error sources, leading to unbounded drifts when integrated doubly in traditional inertial navigation algorithms, subjecting inertial positioning to the problem of error drifts. In recent years, …

abstract applications arxiv cost cs.cv cs.ro deep learning devices drones enabling however human iot localization location low mems navigation playing robots role security sensor sensors smartphones survey type