Pedestrian inertial navigation: An overview of model and data-driven approaches
The task of indoor positioning is fundamental to several applications, including navigation, healthcare, location-based services, and security. An emerging field is inertial navigation for pedestrians, which relies only on inertial sensors for positioning. In this paper, we present inertial pedestri...
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| Language: | English |
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025001653 |
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| author | Itzik Klein |
| author_facet | Itzik Klein |
| author_sort | Itzik Klein |
| collection | DOAJ |
| description | The task of indoor positioning is fundamental to several applications, including navigation, healthcare, location-based services, and security. An emerging field is inertial navigation for pedestrians, which relies only on inertial sensors for positioning. In this paper, we present inertial pedestrian navigation models and learning approaches. Among these, are methods and algorithms for shoe-mounted inertial sensors and pedestrian dead reckoning (PDR) with unconstrained inertial sensors. We also address three categories of data-driven PDR strategies: activity-assisted, hybrid approaches, and learning-based frameworks. |
| format | Article |
| id | doaj-art-2ae6cac93b6b42358c00cf6e14d8e786 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-2ae6cac93b6b42358c00cf6e14d8e7862025-01-23T05:27:41ZengElsevierResults in Engineering2590-12302025-03-0125104077Pedestrian inertial navigation: An overview of model and data-driven approachesItzik Klein0The Autonomous Navigation and Sensor Fusion Lab, Hatter Department of Marine Technologies, Charney School of Marine Science, University of Haifa, Haifa, IsraelThe task of indoor positioning is fundamental to several applications, including navigation, healthcare, location-based services, and security. An emerging field is inertial navigation for pedestrians, which relies only on inertial sensors for positioning. In this paper, we present inertial pedestrian navigation models and learning approaches. Among these, are methods and algorithms for shoe-mounted inertial sensors and pedestrian dead reckoning (PDR) with unconstrained inertial sensors. We also address three categories of data-driven PDR strategies: activity-assisted, hybrid approaches, and learning-based frameworks.http://www.sciencedirect.com/science/article/pii/S2590123025001653Pedestrian dead reckoningInertial sensorsMachine learning |
| spellingShingle | Itzik Klein Pedestrian inertial navigation: An overview of model and data-driven approaches Results in Engineering Pedestrian dead reckoning Inertial sensors Machine learning |
| title | Pedestrian inertial navigation: An overview of model and data-driven approaches |
| title_full | Pedestrian inertial navigation: An overview of model and data-driven approaches |
| title_fullStr | Pedestrian inertial navigation: An overview of model and data-driven approaches |
| title_full_unstemmed | Pedestrian inertial navigation: An overview of model and data-driven approaches |
| title_short | Pedestrian inertial navigation: An overview of model and data-driven approaches |
| title_sort | pedestrian inertial navigation an overview of model and data driven approaches |
| topic | Pedestrian dead reckoning Inertial sensors Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025001653 |
| work_keys_str_mv | AT itzikklein pedestrianinertialnavigationanoverviewofmodelanddatadrivenapproaches |