Automatic estimation of road inclinations by fusing GPS readings with OSM and ASTER GDEM2 data - Archive ouverte HAL
Conference Papers Year : 2015

Automatic estimation of road inclinations by fusing GPS readings with OSM and ASTER GDEM2 data

Christophe Boucher

Abstract

This work focuses on a method of estimating the slope of road networks that are ground-modeled by OSM originally. The aim is to get 3-D road vectors including their 2-D location and inclination, that is an important parameter to ensure more reliable route planning. This is done from GPS data that are collected by a vehicle traveling on an existing OSM road network whose a DEM, like SRTM or ASTER data, provides a modeling of the terrain surface. GPS, OSM and DEM data are modeled as measurement equations in order to account for their errors through an UKF that fuses them in a centralized scheme. Here, the key step is to match GPS/OSM/DEM measurements successively by computing statistical Mahalanobis distances. The experimental framework show some results of road inclinations estimation and the significant contribution of a DEM as baseline.
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Dates and versions

hal-02955039 , version 1 (01-10-2020)

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Christophe Boucher, Jean-Charles Noyer. Automatic estimation of road inclinations by fusing GPS readings with OSM and ASTER GDEM2 data. 2014 International Conference on Connected Vehicles and Expo (ICCVE), Nov 2014, Vienna, Austria. pp.871-876, ⟨10.1109/ICCVE.2014.7297680⟩. ⟨hal-02955039⟩
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