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An ensemble approach to deep‐learning‐based wireless indoor localization
Abstract The authors investigate the use of deep learning in wireless indoor localization to address the shortcomings of the existing range‐based (e.g. trilateration and triangulation) and range‐free (e.g. fingerprinting) localization. Instead of relying on geometric models and hand‐picked features,...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2022-04-01
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| シリーズ: | IET Wireless Sensor Systems |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1049/wss2.12035 |
| タグ: |
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