Probabilistic Geomagnetic Fingerprinting for Low-Power Orientation Estimation utilising Geometric Models
- This work presents a new approach to estimate the orientation of wireless sensor nodes (WSN) using geomagnetic sensors. The main contribution is a new algorithm for supervised orientation estimation using geomagnetic fingerprinting. Combined with hierarchical sensing our approach leads to a significant reduction of power consumption.
| Author: | Johannes Meyer, Lars Klitzke, Gerd von Cölln |
|---|---|
| DOI: | https://doi.org/10.1109/INDIN41052.2019.8972227 |
| ISBN: | 978-1-7281-2927-3 |
| ISSN: | 2378-363X |
| Parent Title (English): | 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 22.07.-25.07.2019, Helsinki (Finland) |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2019 |
| Release Date: | 2025/06/18 |
| Tag: | Low Power Orientation Estimation; MEMS Sensor models; Probabilistic Geomagnetic Fingerprinting; Supervised Learning |
| Pagenumber: | 6 |
| First Page: | 1601 |
| Last Page: | 1606 |
| Institute: | Fachbereich Technik |
| Research Focus Area: | Industrielle Informatik |