Stereopolis II: A multi-purpose and multi-sensor 3D mobile mapping system for street visualisation and 3D metrology

Abstract

Nous présentons dans cet article un système de numérisation mobile 3D hybride laser-image qui permet d'acquérir des infrastructures de données spatiales répondant aux besoins d'applications diverses allant de navigations multimédia immersives jusqu'à de la métrologie 3D à travers le web. Nous détaillons la conception du système, ses capteurs, son architecture et sa calibration, ainsi qu'un service web offrant la possibilité de saisir en 3D via un outil de type SaaS (Software as a Service), permettant à tout un chacun d'enrichir ses propres bases de données à hauteur de ses besoins.Nous abordons également l'anonymisation des données, à savoir la détection et le floutage de plaques d'immatriculation, qui est est une étape inévitable pour la diffusion de ces données sur Internet via des applications grand public.

Sensor-Topology Based Simplicial Complex Reconstruction From Mobile Laser Scanning

“…For all the following tests, we used data from the Stereopolis vehicle (Paparoditis et al, 2012). The scenes have been acquired in an urban environment (Paris) and are mostly composed of roads, facades, trees and urban planning.…”

MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors

“…An overview of sensor platforms for remote sensing can be found in [8]. Vehiclebased, multi-sensor measurement systems of research institutions are described in [9] and [10], to name just two examples. Prominent examples of commercial measurement vehicles are the ones used by data companies like Alphabet or Here to collect data for their geodata or map services.…”

GeoRocket: A scalable and cloud-based data store for big geospatial files

“…This means geospatial data sets are typically large, heterogeneous, and acquired in a short amount of time. Earth observation satellites, airborne laser scanners, and terrestrial mobile mapping systems, for example, record hundreds of thousands of samples per second [5] and produce a few GiB of data up to several TiB in a couple of hours [6]. With the growing data volume, users face new challenges as their current computer systems lack storage space and computational power.…”