Centre de documentation
scientifique

Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases / Johanna Guth in Journal of Spatial Information Science, JoSIS, n° 22 (2021)  

Public [article]  inJournal of Spatial Information Science, JoSIS > n° 22 (2021) . - pp 1 - 31 Titre : Towards detecting, characterizing, and rating of road class errors in crowd-sourced road network databases Type de document : Article/Communication Auteurs : Johanna Guth, Auteur ; Sina Keller, Auteur ; Stefan Hinz, Auteur ; Stephan Winter, Auteur Année de publication : 2021 Article en page(s) : pp 1 - 31 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] base de données localisées [Termes IGN] détection d'erreur [Termes IGN] données localisées des bénévoles [Termes IGN] OpenStreetMap [Termes IGN] qualité des données Résumé : (auteur) OpenStreetMap (OSM), with its global coverage and Open Database License, has recently gained popularity. Its quality is adequate for many applications, but since it is crowd-sourced, errors remain an issue. Errors in associated tags of the road network, for example, are impacting routing applications. Particularly road classification errors often lead to false assumptions about capacity, maximum speed, or road quality, possibly resulting in detours for routing applications. This study aims at finding potential classification errors automatically, which can then be checked and corrected by a human expert. We develop a novel approach to detect road classification errors in OSM by searching for disconnected parts and gaps in different levels of a hierarchical road network. Different parameters are identified that indicate gaps in road networks. These parameters are then combined in a rating system to obtain an error probability to suggest possible misclassifications to a human user. The methodology is applied to an exemplar case for the state of New South Wales in Australia. The results demonstrate that (1) more classification errors are found at gaps than at disconnected parts, and (2) the gap search enables the user to find classification errors quickly using the developed rating system that indicates an error probability. In future work, the methodology can be extended to include available tags in OSM for the rating system. The source code of the implementation is available via GitHub. Numéro de notice : A2021-728 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5311/JOSIS.2021.22.677 Date de publication en ligne : 30/06/2021 En ligne : https://doi.org/10.5311/JOSIS.2021.22.677 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98660 [article]

BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images / Debaditya Acharya in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 245 - 258 Titre : BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images Type de document : Article/Communication Auteurs : Debaditya Acharya, Auteur ; Kourosh Khoshelham, Auteur ; Stephan Winter, Auteur Année de publication : 2019 Article en page(s) : pp 245 - 258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] apprentissage profond [Termes IGN] compréhension de l'image [Termes IGN] estimation de pose [Termes IGN] image de synthèse [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] positionnement en intérieur [Termes IGN] réseau neuronal convolutif [Termes IGN] structure-from-motion Résumé : (Auteur) The ubiquity of cameras built in mobile devices has resulted in a renewed interest in image-based localisation in indoor environments where the global navigation satellite system (GNSS) signals are not available. Existing approaches for indoor localisation using images either require an initial location or need first to perform a 3D reconstruction of the whole environment using structure-from-motion (SfM) methods, which is challenging and time-consuming for large indoor spaces. In this paper, a visual localisation approach is proposed to eliminate the requirement of image-based reconstruction of the indoor environment by using a 3D indoor model. A deep convolutional neural network (DCNN) is fine-tuned using synthetic images obtained from the 3D indoor model to regress the camera pose. Results of the experiments indicate that the proposed approach can be used for indoor localisation in real-time with an accuracy of approximately 2 m. Numéro de notice : A2019-142 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.02.020 Date de publication en ligne : 05/03/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.02.020 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92480 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2019041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2019043	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2019042	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model / Debaditya Acharya in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 157 - 171 Titre : BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model Type de document : Article/Communication Auteurs : Debaditya Acharya, Auteur ; Milad Ramezani, Auteur ; Kourosh Khoshelham, Auteur ; Stephan Winter, Auteur Année de publication : 2019 Article en page(s) : pp 157 - 171 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] algorithme de Gauss-Newton [Termes IGN] appariement de données localisées [Termes IGN] corrélation à l'aide de traits caractéristiques [Termes IGN] estimation de pose [Termes IGN] filtre de Kalman [Termes IGN] longueur focale [Termes IGN] Matlab [Termes IGN] méthode des moindres carrés [Termes IGN] modèle 3D du site [Termes IGN] positionnement en intérieur [Termes IGN] trajet (mobilité) Résumé : (Auteur) This article presents an accurate and robust visual indoor localisation approach that not only is infrastructure-free, but also avoids accumulation error by taking advantage of (1) the widespread ubiquity of mobile devices with cameras and (2) the availability of 3D building models for most modern buildings. Localisation is performed by matching image sequences captured by a camera, with a 3D model of the building in a model-based visual tracking framework. Comprehensive evaluation of the approach with a photo-realistic synthetic dataset shows the robustness of the localisation approach under challenging conditions. Additionally, the approach is tested and evaluated on real data captured by a smartphone. The results of the experiments indicate that a localisation accuracy better than 10 cm can be achieved by using this approach. Since localisation errors do not accumulate the proposed approach is suitable for indoor localisation tasks for long periods of time and augmented reality applications, without requiring any local infrastructure. A MATLAB implementation can be found on https://github.com/debaditya-unimelb/BIM-Tracker. Numéro de notice : A2019-139 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.02.014 Date de publication en ligne : 27/02/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.02.014 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92473 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2019041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2019043	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2019042	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Similarity matching for integrating spatial information extracted from place descriptions / Junchul Kim in International journal of geographical information science IJGIS, vol 31 n° 1-2 (January - February 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 1-2 (January - February 2017) . - pp 56 - 80 Titre : Similarity matching for integrating spatial information extracted from place descriptions Type de document : Article/Communication Auteurs : Junchul Kim, Auteur ; Maria Vasardani, Auteur ; Stephan Winter, Auteur Année de publication : 2017 Article en page(s) : pp 56 - 80 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] données descriptives [Termes IGN] données localisées des bénévoles [Termes IGN] relation spatiale [Termes IGN] résolution d'ambiguïté [Termes IGN] système d'information géographique [Termes IGN] traitement de données localisées Résumé : (auteur) Place descriptions are used in everyday communication as a common way to convey spatial information. Processing the information from place descriptions poses multiple significant challenges because these descriptions are written in natural language. In particular, corpora of place descriptions provide a plethora of human spatial knowledge beyond geographical information system, even if these descriptions refer to the same places in various ways. This article focuses on resolving ambiguous or synonymous place names from place descriptions by exploring the given relationships with other spatial features. It matches place names from multiple descriptions by developing a novel labelled graph matching process that relies solely on the comparison of string, linguistic and spatial similarities between identified places. This process uses unstructured place descriptions as an input, and produces a composite place graph with qualitative spatial relations from the descriptions. The performance of this novel process exceeds current toponym resolution by coping with non-gazetteered places. Numéro de notice : A2017-028 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1188930 En ligne : http://dx.doi.org/10.1080/13658816.2016.1188930 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84018 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2017011	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2017012	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Usability of an opportunistic interface concept for ad hoc ride-sharing / Michael Rigby in International journal of cartography, vol 2 n° 2 (December 2016)  

Public [article]  inInternational journal of cartography > vol 2 n° 2 (December 2016) . - pp 115 - 147 Titre : Usability of an opportunistic interface concept for ad hoc ride-sharing Type de document : Article/Communication Auteurs : Michael Rigby, Auteur ; Stephan Winter, Auteur Année de publication : 2016 Article en page(s) : pp 115 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] autopartage [Termes IGN] convivialité [Termes IGN] ingénierie des connaissances [Termes IGN] interface web [Termes IGN] recherche du chemin optimal, algorithme de [Termes IGN] site web [Termes IGN] système de transport intelligent Résumé : (Auteur) Interacting with ride-sharing systems for ad hoc travel is a complex spatio-temporal task. The dynamics of service supply and demand challenge the rigidity of traditional human–computer interfaces, introducing service uncertainty and creating a knowledge gap which hinders a client's travel planning. Such interface constraints may mean that a client user is unable to find any ride matching their intentions. To overcome this, a novel visual interface concept, launch pads, has been suggested to replace the traditional interface within a two-step negotiation. To close the proposed approach's feedback loop, this paper investigates human understanding and use of the launch pad metaphor. Usability testing of launch pads is performed using a spatial cognitive engineering approach in directed wayfinding scenarios using various alternative representations. Results highlight that the variances of user interaction times depend on the representation used and reveal potential information overload issues. Using these findings, a minimum decision-making time is defined to tune the system's architecture. Numéro de notice : A2016--060 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2016.1145040 En ligne : http://dx.doi.org/10.1080/23729333.2016.1145040 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84215 [article]

vol 20 n° 2 - April - June 2016 - Special Section on Current Computational Transportation Science (Bulletin de Geoinformatica) / Stephan Winter  

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Deadwood and tree microhabitat dynamics in unharvested temperate mountain mixed forests: A life-cycle approach to biodiversity monitoring / Laurent Larrieu in Forest ecology and management, vol 334 ([15/12/2014])  

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A new framework for solving the spatial network problems based on line graphs / Javad Saberian in Transactions in GIS, vol 18 n° 5 (October 2014)  

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The elements of probabilistic time geography / Stephan Winter in Geoinformatica, vol 15 n° 3 (July 2011)  

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Directed movements in probabilistic time geography / Stephan Winter in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)  

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Urban granularities: a data structure for cognitively ergonomic route directions / Alexander Klippel in Geoinformatica, vol 13 n° 2 (June 2009)  

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Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks / Martin Raubal in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)  

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Ad hoc shared-ride trip planning by mobile geosensor networks / Stephan Winter in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)  

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GI for the public: the terrorist attack in London: services and information corrigible / Stephan Winter in Geoinformatics, vol 8 n° 7 (01/10/2005)

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Formal information modelling for standardisation in the spatial domain / Stephan Winter in International journal of geographical information science IJGIS, vol 17 n° 8 (december 2003)  

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