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Using mobile laser scanning data for automated extraction of road markings / Haiyan Guan in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
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[article]
Titre : Using mobile laser scanning data for automated extraction of road markings Type de document : Article/Communication Auteurs : Haiyan Guan, Auteur ; Jonathan Li, Auteur ; Yongtao Yu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 93 - 107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction automatique
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] morphologie mathématique
[Termes IGN] semis de points
[Termes IGN] seuillage de points
[Termes IGN] signalisation routièreRésumé : (Auteur) A mobile laser scanning (MLS) system allows direct collection of accurate 3D point information in unprecedented detail at highway speeds and at less than traditional survey costs, which serves the fast growing demands of transportation-related road surveying including road surface geometry and road environment. As one type of road feature in traffic management systems, road markings on paved roadways have important functions in providing guidance and information to drivers and pedestrians. This paper presents a stepwise procedure to recognize road markings from MLS point clouds. To improve computational efficiency, we first propose a curb-based method for road surface extraction. This method first partitions the raw MLS data into a set of profiles according to vehicle trajectory data, and then extracts small height jumps caused by curbs in the profiles via slope and elevation-difference thresholds. Next, points belonging to the extracted road surface are interpolated into a geo-referenced intensity image using an extended inverse-distance-weighted (IDW) approach. Finally, we dynamically segment the geo-referenced intensity image into road-marking candidates with multiple thresholds that correspond to different ranges determined by point-density appropriate normality. A morphological closing operation with a linear structuring element is finally used to refine the road-marking candidates by removing noise and improving completeness. This road-marking extraction algorithm is comprehensively discussed in the analysis of parameter sensitivity and overall performance. An experimental study performed on a set of road markings with ground-truth shows that the proposed algorithm provides a promising solution to the road-marking extraction from MLS data. Numéro de notice : A2014-015 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.11.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.11.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32920
in ISPRS Journal of photogrammetry and remote sensing > vol 87 (January 2014) . - pp 93 - 107[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Detection and 3D reconstruction of traffic signs from multiple view color images / Bahman Soheilian in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
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[article]
Titre : Detection and 3D reconstruction of traffic signs from multiple view color images Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Nicolas Paparoditis
, Auteur ; Bruno Vallet
, Auteur
Année de publication : 2013 Projets : CityVIP / Paparoditis, Nicolas Article en page(s) : pp 1 - 20 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement automatique
[Termes IGN] couleur (variable spectrale)
[Termes IGN] figure géométrique
[Termes IGN] géométrie épipolaire
[Termes IGN] programmation par contraintes
[Termes IGN] Ransac (algorithme)
[Termes IGN] reconstruction 3D
[Termes IGN] segmentation d'image
[Termes IGN] signalisation routièreRésumé : (Auteur) 3D reconstruction of traffic signs is of great interest in many applications such as image-based localization and navigation. In order to reflect the reality, the reconstruction process should meet both accuracy and precision. In order to reach such a valid reconstruction from calibrated multi-view images, accurate and precise extraction of signs in every individual view is a must. This paper presents first an automatic pipeline for identifying and extracting the silhouette of signs in every individual image. Then, a multi-view constrained 3D reconstruction algorithm provides an optimum 3D silhouette for the detected signs. The first step called detection, tackles with a color-based segmentation to generate ROIs (Region of Interests) in image. The shape of every ROI is estimated by fitting an ellipse, a quadrilateral or a triangle to edge points. A ROI is rejected if none of the three shapes can be fitted sufficiently precisely. Thanks to the estimated shape the remained candidates ROIs are rectified to remove the perspective distortion and then matched with a set of reference signs using textural information. Poor matches are rejected and the types of remained ones are identified. The output of the detection algorithm is a set of identified road signs whose silhouette in image plane is represented by and ellipse, a quadrilateral or a triangle. The 3D reconstruction process is based on a hypothesis generation and verification. Hypotheses are generated by a stereo matching approach taking into account epipolar geometry and also the similarity of the categories. The hypotheses that are plausibly correspond to the same 3D road sign are identified and grouped during this process. Finally, all the hypotheses of the same group are merged to generate a unique 3D road sign by a multi-view algorithm integrating a priori knowledges about 3D shape of road signs as constraints. The algorithm is assessed on real and synthetic images and reached and average accuracy of 3.5cm for position and 4.5° for orientation. Numéro de notice : A2013-111 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.11.009 Date de publication en ligne : 26/01/2013 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.11.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32249
in ISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 1 - 20[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013031 RAB Revue Centre de documentation En réserve L003 Disponible From signs to minds : Spatial information design and mental maps / M. Skiles in Cartographic journal (the), vol 49 n° 4 (November 2012)
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[article]
Titre : From signs to minds : Spatial information design and mental maps Type de document : Article/Communication Auteurs : M. Skiles, Auteur ; T. Howarth, Auteur Année de publication : 2012 Article en page(s) : pp 312 - 325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] communication cartographique
[Termes IGN] distribution spatiale
[Termes IGN] représentation cartographique
[Termes IGN] représentation mentale spatiale
[Termes IGN] signalisation routière
[Termes IGN] visualisation cartographique
[Vedettes matières IGN] CartologieRésumé : (Auteur) This study examines how information design on road signs influences spatial learning. Participants viewed a sequence of signs as if travelling by car through a fictional environment, making turn choices according to assigned goals, and then completed a mapping task. After a second sign viewing, this time without turn decisions, participants repeated the mapping task. For the first mapping task, participants who viewed signs with spatial information presented cartographically produced more topologically-accurate maps than those viewing conventional signs. These differences faded after the second sign viewing. Our results suggest that guide signs with maps can facilitate incidental learning of spatial configuration. Numéro de notice : A2012-611 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277412Y.0000000020 Date de publication en ligne : 22/11/2013 En ligne : https://doi.org/10.1179/1743277412Y.0000000020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32057
in Cartographic journal (the) > vol 49 n° 4 (November 2012) . - pp 312 - 325[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Automatic extraction of road markings from mobile Lidar point clouds / B. Yang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)
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[article]
Titre : Automatic extraction of road markings from mobile Lidar point clouds Type de document : Article/Communication Auteurs : B. Yang, Auteur ; Leyuan Fang, Auteur ; Qi Li, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 331 - 338 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction automatique
[Termes IGN] interpolation
[Termes IGN] lasergrammétrie
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] signalisation routièreRésumé : (Auteur) Among implicit information of laser points, the strength of reflection of laser points is closely related to the property of road materials which helps detecting road markings. This paper presents a novel approach to automatically extracting road markings from mobile lidar point clouds. An interpolation method is first used to generate a georeferenced feature image of the point cloud, which helps to isolate the points of road surfaces. Then, an algorithm is used to separate these points within a range according to their strength of reflection. The separated points are further segmented to remove non-road points based on height threshold. Finally, the outlines of road markings are extracted from the segmented points using the semantic knowledge of road markings. The results demonstrated that our method was very promising for automatic extraction of road markings from lidar point clouds collected by a land-based mobile lidar system, an Optech Lynx Mobile Mapper. Numéro de notice : A2012-178 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.4.331 En ligne : https://doi.org/10.14358/PERS.78.4.331 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31625
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 4 (April 2012) . - pp 331 - 338[article]Détection et localisation 3D de panneaux de signalisation [diaporama] / Bahman Soheilian (08/03/2012)
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Titre : Détection et localisation 3D de panneaux de signalisation [diaporama] Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur
Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 08/03/2012 Conférence : Journées Recherche de l’IGN 2012, 21es Journées 08/03/2012 09/03/2012 Saint-Mandé France programme Importance : 38 p. Format : 30 x 21 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de formes
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] image en couleur
[Termes IGN] reconstruction 3D
[Termes IGN] signalisation routièreRésumé : (Documentaliste) L'objet de la présentation est la mise en œuvre d'un processus complet d'extraction et de reconstruction 3D de panneaux rectangulaires et triangulaires, avec une précision 3D de l'ordre de 3 cm. Numéro de notice : C2012-019 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64345 Documents numériques
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Diaporama_jr2012_matis_bsoheilian.pdfAdobe Acrobat PDF PermalinkConstruction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)
Permalink3D road marking reconstruction from street-level calibrated stereo pairs / Bahman Soheilian in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)
PermalinkDetection of roadway sign condition changes using multi-scale sign image matching (M-SIM) / Y.J. Tsai in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 4 (April 2010)
PermalinkMobile mapping at work in Belgium / K. Spratlin in GEO: Geoconnexion international, vol 9 n° 4 (april 2010)
PermalinkDétection et reconnaissance de la signalisation verticale par analyse d'images, ch 4. Détection et reconnaissance par ajustement de modèles géométriques et radiométriques / Bahman Soheilian (2010)
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PermalinkPermalinkPermalinkA geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial images / Olivier Tournaire in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)
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