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Accuracy evaluation for automated optical indoor positioning using a camera phone / V. Händler in ZFV, Zeitschrift für Geodäsie, Geoinformation und Landmanagement, vol 137 n° 2 (01/03/2012)

Public [article]  inZFV, Zeitschrift für Geodäsie, Geoinformation und Landmanagement > vol 137 n° 2 (01/03/2012) . - pp 114 - 122 Titre : Accuracy evaluation for automated optical indoor positioning using a camera phone Type de document : Article/Communication Auteurs : V. Händler, Auteur ; V. Willert, Auteur Année de publication : 2012 Article en page(s) : pp 114 - 122 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] analyse comparative [Termes IGN] classification [Termes IGN] estimation de précision [Termes IGN] GNSS assisté pour la navigation [Termes IGN] image terrestre [Termes IGN] porte [Termes IGN] positionnement en intérieur [Termes IGN] relèvement [Termes IGN] système optique [Termes IGN] téléphone intelligent Résumé : (Auteur) In this paper, we focus on the accuracy of optical indoor positioning and the design of an automated and mobile positioning system 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 an object with four reference points with known image and world coordinates. 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. Statistical evaluations are provided to judge the different classification methods in terms of robustness and to present the accuracy of the image coordinate localization techniques. Numéro de notice : A2012-267 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31713 [article]

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