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Validation of HD maps for autonomous driving

International Conference on Intelligent Transport Systems in Theory and Practice, mobil.TUM. Bd. 2017. München. 2017 S. 1 - 8

Erscheinungsjahr: 2017

ISBN/ISSN: 2352-1465

Publikationstyp: Zeitschriftenaufsatz (Konferenzbeitrag)

Sprache: Deutsch

GeprüftBibliothek

Inhaltszusammenfassung


This contribution describes a new way of generating highly accurate high definition (HD) maps of the road infrastructure and the necessary validation process ensuring high geolocation demands. As data source aerial imagery acquired with a camera system onboard a helicopter are used. A detailed description outlining (a) Data Acquisition, (b) Orthorectification and (c) Combination with highly accurate radar measurements performed by the TerraSAR-X satellite system is given. The highly accura...This contribution describes a new way of generating highly accurate high definition (HD) maps of the road infrastructure and the necessary validation process ensuring high geolocation demands. As data source aerial imagery acquired with a camera system onboard a helicopter are used. A detailed description outlining (a) Data Acquisition, (b) Orthorectification and (c) Combination with highly accurate radar measurements performed by the TerraSAR-X satellite system is given. The highly accurate imagery geolocation is validated using Ground Control Points (GCP) acquired independently within a GNSS measurement campaign, a description of the final absolute geolocation accuracy is given. A HD map is created using the refined aerial image consisting of road markings (e.g. solid/dashed) and guard rails, which can serve as reference map for validating HD maps generated with other systems.» weiterlesen» einklappen

  • HD maps
  • aerial imagery
  • drive line
  • road marking
  • autonomous driving

Autoren


Fischer, Peter (Autor)
Plaß, Bastian (Autor)
Krauß, Thomas (Autor)
Kurz, Franz (Autor)
Runge, Hartmut (Autor)

Klassifikation


DFG Fachgebiet:
Informatik

DDC Sachgruppe:
Ingenieurwissenschaften