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Deep Learning for Inertial Positioning: A Survey
March 22, 2024, 4:46 a.m. | Changhao Chen, Xianfei Pan
cs.CV updates on arXiv.org arxiv.org
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, …
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