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http://dspace.wunu.edu.ua/handle/316497/30966
Повний запис метаданих
Поле DC | Значення | Мова |
---|---|---|
dc.contributor.author | Fink, Andreas | - |
dc.contributor.author | Beikirch, Helmut | - |
dc.date.accessioned | 2018-07-25T12:39:44Z | - |
dc.date.available | 2018-07-25T12:39:44Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Fink, А. Hybrid Indoor Tracking of Humans in Hazardous Environments [Text] / Andreas Fink, Helmut Beikirch // Computing=Комп'ютинг. - 2011. - Vol. 10, is. 4. - P. 330-336. | uk_UA |
dc.identifier.uri | http://dspace.tneu.edu.ua/handle/316497/30966 | - |
dc.description.abstract | The reliable tracking of humans and materials in indoor scenarios is an ongoing research issue. For example, the monitoring of humans in partially hazardous environments – like the surroundings of an underground longwall mining infrastructure – is crucial to save human lives. A centroid location estimation technique based on received signal strength (RSS) readings offers a well known and low-cost tracking solution in such a rough environment where many other systems with optical, magnetical or ultrasound sensors fail. Due to signal fading the RSS values alone cannot ensure a precise tracking. The sensor fusion of the RSS-based localization with an inertial navigation system (INS) leads to a more precise tracking. The long-term stability of the RSS-based localization and the good short- term accuracy of the INS are combined using a Kalman filter. The experimental results on a motion test track show that a tracking of humans in multipath environments is possible with low infrastructural costs. | uk_UA |
dc.publisher | ТНЕУ | uk_UA |
dc.subject | Inertial Navigation System | uk_UA |
dc.subject | Kalman Filter | uk_UA |
dc.subject | Received Signal Strength | uk_UA |
dc.subject | Indoor Tracking | uk_UA |
dc.subject | Sensor Fusion | uk_UA |
dc.title | Hybrid Indoor Tracking of Humans in Hazardous Environments | uk_UA |
dc.type | Article | uk_UA |
Розташовується у зібраннях: | Комп'ютинг 2011 рік. Том 10. Випуск 4 |
Файли цього матеріалу:
Файл | Опис | Розмір | Формат | |
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Fink.pdf | 2.1 MB | Adobe PDF | Переглянути/Відкрити |
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