A General Framework for 3-D Parameters Estimation of Roads Using GPS, OSM and DEM Data - Archive ouverte HAL Access content directly
Journal Articles Sensors Year : 2018

A General Framework for 3-D Parameters Estimation of Roads Using GPS, OSM and DEM Data

Abstract

A growing number of applications needs GIS mapping information and commercial 3-D roadmaps especially. This paper presents a solution of accessing freely to 3-D map information and updating in the context of transport applications. The method relies on the OSM road networks that is 2-D modeled intrinsically. The objective is to estimate the road elevation and inclination parameters by fusing GPS, OSM and DEM data through a nonlinear filter. An experimental framework, using ASTER GDEM2 data, shows some results of the improvement of the roads modeling that includes their slopes also. The map database can be enriched with the estimated inclinations. The accuracy depends on the GPS and DEM elevation errors (typically a few meters with the GNSS sensors used and the DEM under consideration).

Dates and versions

hal-02954997 , version 1 (01-10-2020)

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Christophe Boucher, Jean-Charles Noyer. A General Framework for 3-D Parameters Estimation of Roads Using GPS, OSM and DEM Data. Sensors, 2018, 18, pp.41. ⟨10.3390/s18010041⟩. ⟨hal-02954997⟩
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