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Titre : Crowd-sourced reconstruction of building interiors Type de document : Thèse/HDR Auteurs : Michael Peter, Auteur ; Dieter Fritsch, Directeur de thèse Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2016 Collection : DGK - C, ISSN 0065-5325 num. 768 Importance : 147 p. ISBN/ISSN/EAN : 978-3-7696-5180-5 Note générale : bibliographie Langues : Anglais (eng) Allemand (ger) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] carte d'intérieur
[Termes IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] échelle cartographique
[Termes IGN] image binaire
[Termes IGN] modélisation 2D
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] navigation à l'estime
[Termes IGN] numérisation de carte
[Termes IGN] plan incendie
[Termes IGN] positionnement en intérieur
[Termes IGN] segmentation binaire
[Termes IGN] squelettisation
[Termes IGN] trace GPSRésumé : (auteur) Location-based services (LBS) have gained huge commercial and scientific interest in recent years, due to the ubiquitous and free availability of maps, global positioning systems, and smartphones. To date, maps and positioning solutions are mostly only available for outdoor use. However, humans spend most of their time indoors, rendering indoor LBS interesting for applications such as location-based advertisement, customer tracking and customer flow analysis. Neither of the two prerequisites for indoor LBS - a map of the user's environment and a positioning system - is currently generally available: Most positioning methods currently under scientific investigation are based either on fingerprint maps of electro-magnetic signals (e.g. WiFi) or inertial measurement units. To overcome the flaws of these methods, they are often supported by models for the human movement which in turn rely on indoor maps. Ready-made maps, on the other hand, are generally unavailable due to indoor mapping being mostly manual, expensive and tedious. The vast amount of unmapped indoor space therefore calls for the transfer of methods used by Volunteered Geographic Information (VGI) communities like OpenStreetMap to indoor mapping. These methods comprise the digitization of features of interest such as building outlines from aerial images released to the community and the use of position traces. In this thesis, approaches are illustrated which can serve to enable this transfer. On the one hand, the thesis shows how photographs of evacuation plans - which are a compulsory part of the safety equipment of publicly used buildings in many countries - can substitute for the aerial images in the indoor domain. Due to the standardised nature of such plans, the manual digitization employed by VGI mappers in the outdoor domain can be replaced by an automatic reverse-engineering pipeline. To this end, the image is pre-processed and symbols, which depict evacuation routes or emergency equipment, are detected. Subsequently, foreground objects (i.e. walls) are distinguished from the background using an adequate binarisation operation. Based on the binary image, the sought-after vector information can be extracted by skeletonisation and skeleton tracing. The model is finalised by a bridging operation of the previously detected symbols which occlude parts of walls or stairs. As the model resulting from these operations is only available in a coordinate system defined by the original image, the transformation to a world-coordinate system or, at least, the unknown scale has to be determined. To this end, the indoor model is matched to an available model of the building's external shell. By detection of stairs, an approximate floor height can be computed and the 2D model is extruded to a 3D model. On the other hand, geometric features and semantic annotations may be added to existing models using pedestrian traces recorded by an indoor positioning system. As suitable generally available and low-cost systems do not exist yet, their existence is simulated in this work by a dead-reckoning system basing on a foot-mounted inertial measurement system. Methods for the derivation of the initial position and orientation necessary for the application of such a system are shown, as well as methods enabling the correction of remaining errors. The latter comprise an alignment approach using the external building shell and a map-matching method which employs the existing coarse model derived from the evacuation plan. Building on the collected pedestrian traces, semi-automatic and automatic approaches for the existing models' semantic and geometric refinement are presented which range from semantic annotation using the analysis of photographed doorplates to automatic door reconstruction. Furthermore, a geometric update of single rooms by conjoint analysis of the coarse model, pedestrian traces and a hand-held low-cost range camera is described. Lastly, works of indoor mapping are presented which are based on pedestrian traces and higher-level knowledge about the interior structure of the building modelled in an indoor grammar. Due to the differing characteristics of the two central elements of building interiors, corridors and rooms, the grammar is composed of a Lindenmayer system modelling the floor's corridor system and a split grammar describing the room layout which is found in the non-corridor spaces. The grammar is put to the test by applying it to distributedly collected noisy trace data. Numéro de notice : 19790 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Thèse étrangère Note de thèse : PhD Dissertation : Photogrammetry : Stuttgart : 2016 nature-HAL : Thèse DOI : 10.18419/opus-8729 En ligne : http://doi.org/10.18419/opus-8729 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85009 Indoor navigation of mobile robots based on visual memory and image-based visual servoing / Suman Raj Bista (2016)
Titre : Indoor navigation of mobile robots based on visual memory and image-based visual servoing Type de document : Thèse/HDR Auteurs : Suman Raj Bista, Auteur ; François Chaumette, Auteur ; Paolo Robuffo Giordano, Auteur Editeur : Rennes : Université de Rennes 1 Année de publication : 2016 Autre Editeur : Rennes : Université Bretagne Loire Importance : 168 p. Format : 21 x 30 cm Note générale : bibliographie
Thesis for the degree of PhD in Signal Processing and Communication, Rennes 1 University, Doctoral School Matisse, Rennes, 2016Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] base de données d'images
[Termes IGN] GNSS assisté pour la navigation
[Termes IGN] image numérique
[Termes IGN] instrument embarqué
[Termes IGN] navigation
[Termes IGN] positionnement en intérieur
[Termes IGN] robot mobile
[Termes IGN] robotique
[Termes IGN] segment de droite
[Termes IGN] temps réel
[Termes IGN] traitement d'image
[Termes IGN] vision par ordinateurIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Cette thèse présente une méthode de navigation par asservissement visuel à l'aide d'une mémoire d'images. Le processus de navigation est issu d'informations d'images 2D sans utiliser aucune connaissance 3D. L'environnement est représenté par un ensemble d'images de référence avec chevauchements, qui sont automatiquement sélectionnés au cours d'une phase d'apprentissage préalable. Ces images de référence définissent le chemin à suivre au cours de la navigation. La commutation des images de référence au cours de la navigation est faite en comparant l'image acquise avec les images de référence à proximité. Basé sur les images actuelles et deux images de référence suivantes, la vitesse de rotation d'un robot mobile est calculée en vertu d'une loi du commandé par asservissement visuel basé image. Tout d'abord, nous avons utilisé l'image entière comme caractéristique, où l'information mutuelle entre les images de référence et la vue actuelle est exploitée. Ensuite, nous avons utilisé des segments de droite pour la navigation en intérieur, où nous avons montré que ces segments sont de meilleurs caractéristiques en environnement intérieur structuré. Enfin, nous avons combiné les segments de droite avec des points pour augmenter l'application de la méthode à une large gamme de scénarios d'intérieur pour des mouvements sans heurt. La navigation en temps réel avec un robot mobile équipé d'une caméra perspective embarquée a été réalisée. Les résultats obtenus confirment la viabilité de notre approche et vérifient qu'une cartographie et une localisation précise ne sont pas nécessaire pour une navigation intérieure utile. Note de contenu : Introduction
1 - Preliminaries and state of art
2 - Our contribution
3 - Summary
ConclusionNuméro de notice : 21580 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Thèse française Note de thèse : thèse de doctorat : Traitement du signal et communication : Rennes 1 : 2016 Organisme de stage : Lagadic Group (Inria Rennes) nature-HAL : Thèse DOI : sans En ligne : http://www.theses.fr/2016REN1S074 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90594 Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry / Roeland Boeters in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)
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Titre : Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry Type de document : Article/Communication Auteurs : Roeland Boeters, Auteur ; Ken Arroyo Ohori, Auteur ; Filip Biljecki, Auteur ; Sisi Zlatanova, Auteur Année de publication : 2015 Article en page(s) : pp 2248 - 2268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] CityGML
[Termes IGN] géométrie
[Termes IGN] levé urbain
[Termes IGN] niveau de détail
[Termes IGN] positionnement en intérieur
[Termes IGN] reconstruction 3D du bâtiRésumé : (Auteur) The international standard CityGML defines five levels of detail (LODs) for 3D city models, but only the highest of these (LOD4) supports modelling the indoor geometry of a building, which must be acquired in correspondingly high detail and therefore at a high cost. Whereas simple 3D city models of the exterior of buildings (e.g. CityGML LOD2) can be generated largely automatically, and are thus now widely available and have a great variety of applications, similarly simple models containing their indoor geometries are rare.
In this paper we present two contributions: (i) the definition of a level of detail LOD2+, which extends the CityGML LOD2 specification with indoor building geometries of comparable complexity to their exterior geometries in LOD2; and more importantly (ii) a method for automatically generating such indoor geometries based on existing CityGML LOD2 exterior geometries. We validate our method by generating LOD2+ models for a subset of the Rotterdam 3D data set and visually comparing these models to their real counterparts in building blueprints and imagery from Google Street View and Bing Maps. Furthermore, we use the LOD2+ models to compute the net internal area of each dwelling and validate our results by comparing these values to the ones registered in official government data sets.Numéro de notice : A2015-624 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1072201 En ligne : https://doi.org/10.1080/13658816.2015.1072201 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78093
in International journal of geographical information science IJGIS > vol 29 n° 12 (December 2015) . - pp 2248 - 2268[article]Enhancing integrated indoor/outdoor mobility in a smart campus / Joaquín Torres-Sospedra in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)
[article]
Titre : Enhancing integrated indoor/outdoor mobility in a smart campus Type de document : Article/Communication Auteurs : Joaquín Torres-Sospedra, Auteur ; Joan Avariento, Auteur ; David Rambla, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 1955 - 1968 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] application informatique
[Termes IGN] cartographie numérique
[Termes IGN] évaluation
[Termes IGN] géopositionnement
[Termes IGN] implémentation (informatique)
[Termes IGN] positionnement en intérieur
[Termes IGN] réalité augmentéeRésumé : (Auteur) A Smart City relies on six key factors: Smart Governance, Smart People, Smart Economy, Smart Environment, Smart Living and Smart Mobility. This paper focuses on Smart Mobility by improving one of its key components: positioning. We developed and deployed a novel indoor positioning system (IPS) that is combined with an outdoor positioning system to support seamless indoor and outdoor navigation and wayfinding. The positioning system is implemented as a service in our broader cartography-based smart university platform, called SmartUJI, which centralizes access to a diverse collection of campus information and provides basic and complex services for the Universitat Jaume I (Spain), which serves as surrogate of a small city. Using our IPS and based on the SmartUJI services, we developed, deployed and evaluated two end-user mobile applications: the SmartUJI APP that allows users to obtain map-based information about the different facilities of the campus, and the SmartUJI AR that allows users to interact with the campus through an augmented reality interface. Students, university staff and visitors who tested the applications reported their usefulness in locating university facilities and generally improving spatial orientation. Numéro de notice : A2015-614 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1049541 En ligne : https://doi.org/10.1080/13658816.2015.1049541 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78080
in International journal of geographical information science IJGIS > vol 29 n° 11 (November 2015) . - pp 1955 - 1968[article]APFiLoc: An Infrastructure-Free Indoor Localization method fusing smartphone inertial sensors, landmarks and map information / Jianga Shang in Sensors, vol 15 n° 10 (October 2015)
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Titre : APFiLoc: An Infrastructure-Free Indoor Localization method fusing smartphone inertial sensors, landmarks and map information Type de document : Article/Communication Auteurs : Jianga Shang, Auteur ; Fuqiang Gu, Auteur ; Xuke Hu, Auteur ; Allison Kealy, Auteur Année de publication : 2015 Article en page(s) : pp 27251 - 27272 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] analyse de groupement
[Termes IGN] bâtiment
[Termes IGN] centrale inertielle
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] information cartographique
[Termes IGN] information complexe
[Termes IGN] point de repère
[Termes IGN] positionnement en intérieur
[Termes IGN] téléphone intelligentRésumé : (auteur) The utility and adoption of indoor localization applications have been limited due to the complex nature of the physical environment combined with an increasing requirement for more robust localization performance. Existing solutions to this problem are either too expensive or too dependent on infrastructure such as Wi-Fi access points. To address this problem, we propose APFiLoc—a low cost, smartphone-based framework for indoor localization. The key idea behind this framework is to obtain landmarks within the environment and to use the augmented particle filter to fuse them with measurements from smartphone sensors and map information. A clustering method based on distance constraints is developed to detect organic landmarks in an unsupervised way, and the least square support vector machine is used to classify seed landmarks. A series of real-world experiments were conducted in complex environments including multiple floors and the results show APFiLoc can achieve 80% accuracy (phone in the hand) and around 70% accuracy (phone in the pocket) of the error less than 2 m error without the assistance of infrastructure like Wi-Fi access points. Numéro de notice : A2015--043 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.3390/s151027251 En ligne : http://dx.doi.org/10.3390/s151027251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81864
in Sensors > vol 15 n° 10 (October 2015) . - pp 27251 - 27272[article]Generation of navigation graphs for indoor space / L. Yang in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)PermalinkLégitimisation et suivi de la performance / Laurent Polidori in Géomètre, n° 2129 (octobre 2015)PermalinkBienvenue en Terra Indoora / Françoise de Blomac in DécryptaGéo le mag, n° 168 (juin 2015)PermalinkA la recherche du point bleu / Françoise de Blomac in DécryptaGéo le mag, n° 168 (juin 2015)PermalinkSuivez le guide / Françoise de Blomac in DécryptaGéo le mag, n° 168 (juin 2015)PermalinkPositioning in challenging environments using ultra-wideband sensor networks / Zoltan Koppanyi in GPS world, vol 26 n° 3 (March 2015)PermalinkDetermination of precise gravity field for the CLIC feasibility studies / Sébastien Guillaume (2015)PermalinkEvaluation of UAV photogrammetric accuracy for mapping and earthworks computations / Chris Cryderman in Geomatica, vol 68 n° 4 (December 2014)PermalinkA bright idea: testing the feasibility of positionning using ambient light / J. Liu in GPS world, vol 25 n° 11 (novembre 2014)PermalinkLa révolution I-MMS / Marielle Mayo in Géomètre, n° 2118 (octobre 2014)PermalinkExploring mobility indoors : an application of sensor-based and GIS systems / Anastasia Petrenko in Transactions in GIS, vol 18 n° 3 (June 2014)PermalinkCollaborative signal processing: More receiver nodes brings ubiquitous navigation closer / Andrey Soloviev in GPS world, vol 25 n° 2 (February 2014)PermalinkGetting closer to everywhere: accurately tracking smartphones indoors / Ramsey Faragher in GPS world, vol 24 n° 10 (October 2013)PermalinkConsolidation de relevés laser d’intérieurs construits : pour une approche probabiliste initialisée par géolocalisation / Jean-François Hullo in XYZ, n° 136 (septembre - novembre 2013)PermalinkMeasuring high bandwidth GNSS signals for indoor positioning / Jürgen Dampf in Inside GNSS, vol 8 n° 5 (September - October 2013)PermalinkVertical colour maps – A data-independent alternative to floor-plan maps / Alexander Salveson Nossum in Cartographica, vol 48 n° 3 (October 2013)PermalinkDeveloping a framework for describing and comparing indoor maps / Alexander Salveson Nossum in Cartographic journal (the), vol 50 n° 3 (August 2013)PermalinkMUSTER, a collaborative GNSS receiver architecture for weak signal processing / Andrey Soloviev in Inside GNSS, vol 8 n° 3 (May - June 2013)PermalinkDon't get left outdoors / C. Carle in GEO: Geoconnexion international, vol 12 n° 3 (march 2013)PermalinkJoint wall mitigation and compressive sensing for indoor image reconstruction / E. Lagunas in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)Permalink