Machine learning for indoor positioning based on received signal strength
Indoor positioning is a key technology enabler for various smart systems that require location-based optimization and automation. Despite its potential, the field of indoor positioning faces numerous challenges in terms of accuracy, precision, computational complexity, power consumption, robustness,...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2018
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| Online Access: | https://hdl.handle.net/10356/89317 http://hdl.handle.net/10220/46235 |
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| Institution: | Nanyang Technological University |
| Language: | English |