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Jul 31, 2024 · In this paper, we present inertial pedestrian navigation models and learning approaches. Among these, are methods and algorithms for shoe-mounted inertial ...
Jul 31, 2024 · In this paper, we present inertial pedestrian navigation models and learning approaches. Among these, are methods and algorithms for shoe- ...
1) Step detection: The pedestrian steps are detected gen- · 2) Step-length estimation: Several approaches may be · 3) Heading determination: The heading of the ...
Jul 31, 2024 · The model-based approach relies on mathematical models to estimate a person's position, velocity, and orientation from the sensor data. This ...
Pedestrian Inertial Navigation: An Overview of Model and Data-Driven Approaches · Data-Driven Underwater Navigation workshop: AUV Close-Range Localization and ...
Oct 22, 2024 · In this paper, we first categorize existing approaches to data-driven pedestrian inertial navigation, including approaches where a machine ...
Feb 25, 2023 · The algorithm is a data-driven supervised learning method [23] for pedestrian inertial navigation [24]. It regresses the pedestrian velocity ...
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Mar 10, 2020 · Strapdown inertial navigation methods assisted by ZUPT use accelerometers and gyroscopes to calculate the navigation parameters of the human ...
The second approach to data-driven pedestrian inertial navigation is to discard all applicable models, including the kinematic inertial navigation equations, ...
Dec 2, 2024 · These data-driven approaches primarily aim to enhance model-based inertial sensing algorithms. To foster further research on integrating deep ...