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Street-side vehicle detection, classification and change detection using mobile laser scanning data / Wen Xiao in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 114 (April 2016) . - pp 166 - 178 Titre : Street-side vehicle detection, classification and change detection using mobile laser scanning data Type de document : Article/Communication Auteurs : Wen Xiao, Auteur ; Bruno Vallet , Auteur ; Konrad Schindler, Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2016 Projets : Terra Mobilita / Article en page(s) : pp 166 - 178 Note générale : bibliogaphie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] apprentissage dirigé [Termes IGN] classification dirigée [Termes IGN] détection d'objet [Termes IGN] détection de changement [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] extraction de traits caractéristiques [Termes IGN] modèle numérique d'objet [Termes IGN] rectangle englobant minimum [Termes IGN] semis de points [Termes IGN] véhicule automobile Résumé : (auteur) Statistics on street-side car parks, e.g. occupancy rates, parked vehicle types, parking durations, are of great importance for urban planning and policy making. Related studies, e.g. vehicle detection and classification, mostly focus on static images or video. Whereas mobile laser scanning (MLS) systems are increasingly utilized for urban street environment perception due to their direct 3D information acquisition, high accuracy and movability. In this paper, we design a complete system for car park monitoring, including vehicle recognition, localization, classification and change detection, from laser scanning point clouds. The experimental data are acquired by an MLS system using high frequency laser scanner which scans the streets vertically along the system’s moving trajectory. The point clouds are firstly classified as ground, building façade, and street objects which are then segmented using state-of-the-art methods. Each segment is treated as an object hypothesis, and its geometric features are extracted. Moreover, a deformable vehicle model is fitted to each object. By fitting an explicit model to the vehicle points, detailed information, such as precise position and orientation, can be obtained. The model parameters are also treated as vehicle features. Together with the geometric features, they are applied to a supervised learning procedure for vehicle or non-vehicle recognition. The classes of detected vehicles are also investigated. Whether vehicles have changed across two datasets acquired at different times is detected to estimate the durations. Here, vehicles are trained pair-wisely. Two same or different vehicles are paired up as training samples. As a result, the vehicle recognition, classification and change detection accuracies are 95.9%, 86.0% and 98.7%, respectively. Vehicle modelling improves not only the recognition rate, but also the localization precision compared to bounding boxes. Numéro de notice : A2016--090 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.02.007 Date de publication en ligne : 03/03/2016 En ligne : http://doi.org/10.1016/j.isprsjprs.2016.02.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84612 [article]

TerraMobilita/iQmulus urban point cloud analysis benchmark / Bruno Vallet in Computers and graphics, vol 49 (June 2015)  

Public [article]  inComputers and graphics > vol 49 (June 2015) . - pp 126 - 133 Titre : TerraMobilita/iQmulus urban point cloud analysis benchmark Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Mathieu Brédif , Auteur ; Andrès Serna, Auteur ; Beatriz Marcotegui, Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2015 Projets : IQmulus / Métral, Claudine, Terra Mobilita / Métral, Claudine Article en page(s) : pp 126 - 133 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbre de décision [Termes IGN] classification [Termes IGN] compréhension de l'image [Termes IGN] détection [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] réalité de terrain [Termes IGN] scène urbaine [Termes IGN] semis de points Résumé : (Auteur) The objective of the TerraMobilita/iQmulus 3D urban analysis benchmark is to evaluate the current state of the art in urban scene analysis from mobile laser scanning (MLS) at large scale. A very detailed semantic tree for urban scenes is proposed. We call analysis the capacity of a method to separate the points of the scene into these categories (classification), and to separate the different objects of the same type for object classes (detection). A very large ground truth is produced manually in two steps using advanced editing tools developed especially for this benchmark. Based on this ground truth, the benchmark aims at evaluating the classification, detection and segmentation quality of the submitted results. Numéro de notice : A2015--111 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cag.2015.03.004 Date de publication en ligne : 11/03/2015 En ligne : https://doi.org/10.1016/j.cag.2015.03.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90633 [article]

2D arrangement-based hierarchical spatial partitioning: an application to pedestrian network generation / Murat Yirci (2013)  

Public contenu dans Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science / Craig A. Knoblock (2013)   Titre : 2D arrangement-based hierarchical spatial partitioning: an application to pedestrian network generation Type de document : Article/Communication Auteurs : Murat Yirci, Auteur ; Mathieu Brédif , Auteur ; Julien Perret , Auteur ; Nicolas Paparoditis , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2013 Projets : iSpace&Time / Brédif, Mathieu Conférence : IWCTS 2013, 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science 05/11/2013 08/11/2013 Orlando Floride - Etats-Unis Proceedings ACM Projets : Terra Mobilita / Brédif, Mathieu Importance : pp 31 - 36 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] algorithme génétique [Termes IGN] connexité (graphes) [Termes IGN] données vectorielles [Termes IGN] information sémantique [Termes IGN] modèle conceptuel de données localisées [Termes IGN] partition des données [Termes IGN] partitionnement [Termes IGN] squelettisation [Termes IGN] théorie des graphes Résumé : (auteur) This paper addresses the creation and maintenance of partitions of city surfaces for mapping and transportation applications. It proposes a hierarchical spatial surface partitioning, encoding the spatial partition with a 2D arrangement and structuring a generic hierarchy of semantic objects with a directed acyclic graph (DAG), in which the leaves point to the partition elements (polygonal regions, line strings, points). Semantic objects such as buildings, sidewalks and roads are described by grouping other objects and partition elements with their semantic relationships. In the proposed generic data model, geometry and spatial relationships of the semantic objects are respectively described by the geometry and topology of the planar partition. The proposed geometric data structure for creating and maintaining this partition is a 2D arrangement. In addition, the hierarchical object model encodes the thematic and semantic relationships between the objects. Besides the data model, methods and algorithms are discussed for leveraging existing vector datasets to create and maintain such partitions. These partitions are then fit to further processing and analysis using computational geometry and graph theory algorithms. For this purpose, three application-wise generic algorithms were integrated into our system called Streetmaker: two skeleton operators for centerline generation (straight skeleton and medial axis) and connectivity graphs for itinerary calculations. Moreover, specific algorithms can be integrated into Streetmaker for specific applications. We demonstrated an example usage of this framework for generating static obstacle avoiding pedestrian network graphs. The representation of the network graph and the process used to generate it, can be considered as the second contribution of our work besides the proposed data model. Numéro de notice : C2013-004 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : GEOMATIQUE Nature : Communication DOI : 10.1145/2533828.2533843 En ligne : http://dx.doi.org/10.1145/2533828.2533843 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80064