Willert, Verena ; Willert, Volker ; Gering, Stefan ; Raß, Sebastian ; Etzel, Johannes (2011)
Automated extraction of image coordinates for Optical Indoor Positioning.
International Conference on Indoor Positioning and Indoor Navigation. Guimaraes (21.09.2011-23.09.2011)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we focus on the accuracy of optical indoor positioning based on pictures taken by a cell phone camera. We restrict ourselves to automated relative pose estimation given only one image including the projection of a known object with at least three known reference points with known absolute position. To infer the relative pose from the image coordinates of the reference points we first have to detect and classify an object, afterwards localize the image coordinates, and finally apply spatial resection. We show, that if an object is correctly classified then the quality of the positioning heavily depends on the accuracy of the localization of the image coordinates and on the choice of the spatial resection algorithm. To this end, we compare three different spatial resection algorithms and present two combinations of object classification and image coordinate localization techniques using doors as known objects. The accuracy and fault tolerance of the different methods will conclusively be discussed in terms of quality and robustness.
| Typ des Eintrags: | Konferenzveröffentlichung | ||||
|---|---|---|---|---|---|
| Erschienen: | 2011 | ||||
| Autor(en): | Willert, Verena ; Willert, Volker ; Gering, Stefan ; Raß, Sebastian ; Etzel, Johannes | ||||
| Art des Eintrags: | Bibliographie | ||||
| Titel: | Automated extraction of image coordinates for Optical Indoor Positioning | ||||
| Sprache: | Englisch | ||||
| Publikationsjahr: | 21 September 2011 | ||||
| Veranstaltungstitel: | International Conference on Indoor Positioning and Indoor Navigation | ||||
| Veranstaltungsort: | Guimaraes | ||||
| Veranstaltungsdatum: | 21.09.2011-23.09.2011 | ||||
| Zugehörige Links: | |||||
| Kurzbeschreibung (Abstract): | In this paper, we focus on the accuracy of optical indoor positioning based on pictures taken by a cell phone camera. We restrict ourselves to automated relative pose estimation given only one image including the projection of a known object with at least three known reference points with known absolute position. To infer the relative pose from the image coordinates of the reference points we first have to detect and classify an object, afterwards localize the image coordinates, and finally apply spatial resection. We show, that if an object is correctly classified then the quality of the positioning heavily depends on the accuracy of the localization of the image coordinates and on the choice of the spatial resection algorithm. To this end, we compare three different spatial resection algorithms and present two combinations of object classification and image coordinate localization techniques using doors as known objects. The accuracy and fault tolerance of the different methods will conclusively be discussed in terms of quality and robustness. |
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| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme) 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik |
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| Hinterlegungsdatum: | 06 Okt 2011 13:16 | ||||
| Letzte Änderung: | 05 Mär 2013 09:54 | ||||
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