A Multi-condition WiFi Fingerprinting Dataset for Indoor Positioning
In recent years, indoor positioning is getting more attention, and WiFi fingerprinting is one promising method to track the position of a person. Until now, there is a lack of public datasets that can be used to compare fairly among different positioning algorithms. In this paper, a multi-condition...
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| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Conference paper |
| Kieli: | English |
| Julkaistu: |
Springer
2022
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| Aiheet: | |
| Linkit: | https://scholar.dlu.edu.vn/handle/123456789/1646 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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