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The need to integrate BIM and geoinformation / Sisi Zlatanova in GIM international [en ligne], vol 30 n° 10 (October 2016)
[article]
Titre : The need to integrate BIM and geoinformation Type de document : Article/Communication Auteurs : Sisi Zlatanova, Auteur Année de publication : 2016 Article en page(s) : pp 27 - 29 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] échange de données informatisé
[Termes IGN] interopérabilité
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] télémétrie laser terrestreRésumé : (éditeur) In the construction industry, business relationships are often short term and one-off. There are many unique processes and activities. The resulting complexity and fragmentation may obstruct quick and effective exchange and integration of information and thus hamper project progress. Building information modelling (BIM) is aimed at preventing mismatches in information exchange between the many stakeholders. Although BIM has come a long way in this respect, there are still challenges to overcome. Numéro de notice : A2016-735 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.gim-international.com/content/article/the-need-to-integrate-bim-and- [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82268
in GIM international [en ligne] > vol 30 n° 10 (October 2016) . - pp 27 - 29[article]Dynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence / Chi Chen in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
[article]
Titre : Dynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence Type de document : Article/Communication Auteurs : Chi Chen, Auteur ; Bisheng Yang, Auteur Année de publication : 2016 Article en page(s) : pp 90 - 107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] densité des points
[Termes IGN] détection de partie cachée
[Termes IGN] données lidar
[Termes IGN] occultation du signal
[Termes IGN] retouche
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestre
[Termes IGN] voxelRésumé : (Auteur) Laser point clouds captured using terrestrial laser scanning (TLS) in an uncontrollable urban outdoor or indoor scene suffer from irregular shaped data blanks caused by dynamic occlusion that temporarily exists, i.e., moving objects, such as pedestrians or cars, resulting in integrality and quality losses of the scene data. This paper proposes a novel automatic dynamic occlusion detection and inpainting method for sequential TLS point clouds captured from one scan position. In situ collected laser point clouds sequences are indexed by establishing a novel panoramic space partition that assigns a three dimensional voxel to each laser point according to the scanning setups. Then two stationary background models are constructed at the ray voxel level using the laser reflectance intensity and geometrical attributes of the point set inside each voxel across the TLS sequence. Finally, the background models are combined to detect the points on the dynamic object, and the ray voxels of the detected dynamic points are tracked for further inpainting by replacing the ray voxels with the corresponding background voxels from another scan. The resulting scene is free of dynamic occlusions. Experiments validated the effectiveness of the proposed method for indoor and outdoor TLS point clouds captured by a commercial terrestrial scanner. The proposed method achieves high precision and recall rate for dynamic occlusion detection and produces clean inpainted point clouds for further processing. Numéro de notice : A2016-779 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.05.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.05.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82474
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 90 - 107[article]Efficient terrestrial laser scan segmentation exploiting data structure / Hamid Mahmoudabadi in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
[article]
Titre : Efficient terrestrial laser scan segmentation exploiting data structure Type de document : Article/Communication Auteurs : Hamid Mahmoudabadi, Auteur ; Michael J. Olsen, Auteur ; Sinisa Todorovic, Auteur Année de publication : 2016 Article en page(s) : pp 135 - 150 Note générale : Bibliogaphie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] colorimétrie
[Termes IGN] densité d'information
[Termes IGN] intensité lumineuse
[Termes IGN] modèle logique de données
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] système de coordonnées
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) New technologies such as lidar enable the rapid collection of massive datasets to model a 3D scene as a point cloud. However, while hardware technology continues to advance, processing 3D point clouds into informative models remains complex and time consuming. A common approach to increase processing efficiently is to segment the point cloud into smaller sections. This paper proposes a novel approach for point cloud segmentation using computer vision algorithms to analyze panoramic representations of individual laser scans. These panoramas can be quickly created using an inherent neighborhood structure that is established during the scanning process, which scans at fixed angular increments in a cylindrical or spherical coordinate system. In the proposed approach, a selected image segmentation algorithm is applied on several input layers exploiting this angular structure including laser intensity, range, normal vectors, and color information. These segments are then mapped back to the 3D point cloud so that modeling can be completed more efficiently. This approach does not depend on pre-defined mathematical models and consequently setting parameters for them. Unlike common geometrical point cloud segmentation methods, the proposed method employs the colorimetric and intensity data as another source of information. The proposed algorithm is demonstrated on several datasets encompassing variety of scenes and objects. Results show a very high perceptual (visual) level of segmentation and thereby the feasibility of the proposed algorithm. The proposed method is also more efficient compared to Random Sample Consensus (RANSAC), which is a common approach for point cloud segmentation. Numéro de notice : A2016-781 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.05.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.05.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82477
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 135 - 150[article]3D building reconstruction from ALS data using unambiguous decomposition into elementary structures / Malgorzata Jarząbek-Rychard in ISPRS Journal of photogrammetry and remote sensing, vol 118 (August 2016)
[article]
Titre : 3D building reconstruction from ALS data using unambiguous decomposition into elementary structures Type de document : Article/Communication Auteurs : Malgorzata Jarząbek-Rychard, Auteur ; Andrzej Borkowski, Auteur Année de publication : 2016 Article en page(s) : pp 1 – 12 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] interprétation automatique
[Termes IGN] modèle logique de données
[Termes IGN] modèle topologique de données
[Termes IGN] niveau de détail
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (auteur) The objective of the paper is to develop an automated method that enables for the recognition and semantic interpretation of topological building structures. The novelty of the proposed modeling approach is an unambiguous decomposition of complex objects into predefined simple parametric structures, resulting in the reconstruction of one topological unit without independent overlapping elements. The aim of a data processing chain is to generate complete polyhedral models at LOD2 with an explicit topological structure and semantic information. The algorithms are performed on 3D point clouds acquired by airborne laser scanning. The presented methodology combines data-based information reflected in an attributed roof topology graph with common knowledge about buildings stored in a library of elementary structures. In order to achieve an appropriate balance between reconstruction precision and visualization aspects, the implemented library contains a set of structure-depended soft modeling rules instead of strictly defined geometric primitives. The proposed modeling algorithm starts with roof plane extraction performed by the segmentation of building point clouds, followed by topology identification and recognition of predefined structures. We evaluate the performance of the novel procedure by the analysis of the modeling accuracy and the degree of modeling detail. The assessment according to the validation methods standardized by the International Society for Photogrammetry and Remote Sensing shows that the completeness of the algorithm is above 80%, whereas the correctness exceeds 98%. Numéro de notice : A2016-587 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.04.005 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81731
in ISPRS Journal of photogrammetry and remote sensing > vol 118 (August 2016) . - pp 1 – 12[article]Managing real-time information within BIM-based processes for assessing building behaviours in operation / Daniela Pasini in International journal of 3-D information modeling, vol 5 n° 4 (October - December 2016)
[article]
Titre : Managing real-time information within BIM-based processes for assessing building behaviours in operation Type de document : Article/Communication Auteurs : Daniela Pasini, Auteur ; Angelo Luigi Camillo Ciribini, Auteur ; Bruno Daniotti, Auteur Année de publication : 2016 Article en page(s) : pp 25 - 38 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] comportement
[Termes IGN] format d'échange
[Termes IGN] format Industry foudation classes IFC
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] surveillance d'ouvrage
[Termes IGN] télémétrie laser terrestre
[Termes IGN] temps réelRésumé : (auteur) Considering the remarkable shift that the digitalisation is nowadays bringing about in the building sector, the paper focuses on how the great amount of data collected around assets is changing the way buildings are operated, particularly for what concerns innovation on products, processes and technologies. By establishing a connection between as-designed virtual models and as-delivered physical assets, the paper presents methods and tools based on information management and developed for assessing building behaviours in operation and for defining control strategies for satisfying user needs. The research aims to investigate how the building process could benefit from the availability of multi-faceted information collected in real time (e.g. through sensors) during the operational stages of buildings. Digitally-enabled practices and technologies have been developed and tested for improving a data-driven asset management, by enriching Building Information Models through data gathered through Building Management Systems, according to the Industry Foundation Classes schema. Numéro de notice : A2016-148 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.4018/IJ3DIM.2016100103 En ligne : https://doi.org/10.4018/IJ3DIM.2016100103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85916
in International journal of 3-D information modeling > vol 5 n° 4 (October - December 2016) . - pp 25 - 38[article]Réservation
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