ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-4/W8
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W8, 99–106, 2019
https://doi.org/10.5194/isprs-annals-IV-4-W8-99-2019
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W8, 99–106, 2019
https://doi.org/10.5194/isprs-annals-IV-4-W8-99-2019

  23 Sep 2019

23 Sep 2019

REQUIREMENT ANALYSIS OF 3D ROAD SPACE MODELS FOR AUTOMATED DRIVING

B. Schwab1 and T. H. Kolbe2 B. Schwab and T. H. Kolbe
  • 1AUDI AG, 85045 Ingolstadt, Germany
  • 2Chair of Geoinformatics, Technical University of Munich (TUM), 80333 Munich, Germany

Keywords: Automated Driving, Road Space, Street, Environment, Requirements, Sensors, CityGML, OpenDRIVE

Abstract. Automated driving has received a high degree of public attention in recent years as it will lead to profound changes in mobility, society and urban development. Despite several product announcements from automobile manufacturers and mobility providers, many questions have not yet been answered completely. The need of lane-level HD maps was widely discussed and has been the reason for company acquisitions. HD maps are tailored towards supporting the operation of an automated vehicle. However, the development of this technology also requires road space models, but with a completely different focus and level of detail. Therefore, this article investigates the system development and testing challenges of automated driving. Based on this, requirements of road space models for developing automated driving are derived and gaps to current standards are indicated.