Crowdsourcing-Based Learning Data Collection for Real-Time Sensor Error Correction in Indoor Environments
Sufficient training data and high positioning accuracy are crucial components of indoor positioning. However, the collection of learning data consumes much time and manual effort, inhibiting the global spread of indoor positioning technology. The use of crowdsourcing-based data collection that does...
Сохранить в:
| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2020-01-01
|
| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/9138420/ |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|