Robust, fine-grained occupancy estimation via combined camera & WiFi indoor localization
We describe the development of a robust, accurate and practically-validated technique for estimating the occupancy count in indoor spaces, based on a combination of WiFi & video sensing. While fusing these two sensing-based inputs is conceptually straightforward, the paper demonstrates and tackl...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5668 https://ink.library.smu.edu.sg/context/sis_research/article/6672/viewcontent/Robust__Fine_Grained_Occupancy_Estimation_via_Combined_Camera___WiFi_Indoor_Localization_IEEE.pdf |
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| Institution: | Singapore Management University |
| Language: | English |