no code implementations • 18 Jan 2018 • Remi Cura, Julien Perret, Nicolas Paparoditis
The main challenges seems to come from the complex nature of urban environment and from the limitations of the available data.
no code implementations • 17 Jan 2018 • Remi Cura, Julien Perret, Nicolas Paparoditis
Tools are needed to efficiently create and edit those vector geospatial data.
no code implementations • 15 Jan 2018 • Remi Cura, Julien Perret, Nicolas Paparoditis
In the last decade the use of Machine Learning and more specifically classification methods have proved to be successful to create this semantic information.
no code implementations • ISPRS Journal of Photogrammetry and Remote Sensing 2018 • Xiaozhi Qu, Bahman Soheilian, Nicolas Paparoditis
A landmark based localization with uncertainty analysis based on cameras and geo-referenced landmarks is presented in this paper.
no code implementations • 22 Feb 2016 • Rémi Cura, Julien Perret, Nicolas Paparoditis
Lidar datasets now commonly reach Billions of points and are very dense.
no code implementations • 29 Aug 2013 • Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis
In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information.