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

A growing number of applications needs GIS mapping information and commercial 3-D 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).

• Record URL:
  https://doi.org/10.3390/s18010041
• Record URL:
  http://www.mdpi.com/1424-8220/18/1/41
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2018 Christophe Boucher and Jean-Charles Noyer.
• Authors:
  • Boucher, Christophe
  • Noyer, Jean-Charles
• Publication Date: 2018-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 16p
• Serial:
  • Sensors
  • Volume: 18
  • Issue Number: 1
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Digital mapping; Digital maps; Geographic information systems; Global Positioning System; Roads; Sensors
• Identifier Terms: Global Navigation Satellite System; OpenStreetMap
• Uncontrolled Terms: Digital elevation models
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01669846
• Record Type: Publication
• Files: TRIS
• Created Date: May 22 2018 5:20PM