Supporting the Implementation of Driving Simulator Environments Through Established GIS Approaches by Extending the Geospatial Data Abstraction Library (GDAL) with OpenDRIVE
Authors:
Michael Scholz, Ana María Orozco Idrobo
Keywords:
driving simulation, OpenDRIVE, GDAL/OGR, simple features, GIS
Abstract:
Extensive and highly detailed real-world road networks obtained through mobile mapping and spatial dataprocessingbuildabasisfordevelopmentandevaluationofadvanceddriverassistantandautomationsystems nowadays. Such road networks, as used in driving/traffic simulation and test vehicles, are provided in specialised description formats – one of which being OpenDRIVE. Sparse tool support makes generation, processing and validation of OpenDRIVE cumbersome. The GIS domain provides well-established and convenient tools for spatial data processing, but does not yet offer support for OpenDRIVE data. This paper describes an extension of the free and open-source Geospatial Data Abstraction Library (GDAL) with OpenDRIVE as missing link between the domains of driving simulation and geographic information systems. By bringing both domains closer together we hope to stimulate promising development of scenario generation and synthesis of reality-based road networks for driving simulator applications.
Cite this article
Scholz M. and Orozco Idrobo A.M. Supporting the Implementation of Driving Simulator Environments Through Established GIS Approaches by Extending the Geospatial Data Abstraction Library (GDAL) with OpenDRIVE In: Proceedings of the Driving Simulation Conference 2017 Europe VR, Driving Simulation Association, Stuttgart, Germany, 2017, pp. 51-54
@inproceedings{Scholz2017,
title = {Supporting the Implementation of Driving Simulator Environments Through Established GIS Approaches by Extending the Geospatial Data Abstraction Library (GDAL) with OpenDRIVE},
author = {Michael Scholz and Orozco Idrobo, Ana María},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
issn = {0769-0266},
year = {2017},
date = {2017-09-06},
booktitle = {Proceedings of the Driving Simulation Conference 2017 Europe VR},
pages = {51-54},
address = {Stuttgart, Germany},
organization = {Driving Simulation Association},
abstract = {Extensive and highly detailed real-world road networks obtained through mobile mapping and spatial dataprocessingbuildabasisfordevelopmentandevaluationofadvanceddriverassistantandautomationsystems nowadays. Such road networks, as used in driving/traffic simulation and test vehicles, are provided in specialised description formats – one of which being OpenDRIVE. Sparse tool support makes generation, processing and validation of OpenDRIVE cumbersome. The GIS domain provides well-established and convenient tools for spatial data processing, but does not yet offer support for OpenDRIVE data. This paper describes an extension of the free and open-source Geospatial Data Abstraction Library (GDAL) with OpenDRIVE as missing link between the domains of driving simulation and geographic information systems. By bringing both domains closer together we hope to stimulate promising development of scenario generation and synthesis of reality-based road networks for driving simulator applications.},
keywords = {driving simulation, GDAL/OGR, GIS, OpenDRIVE, simple features},
}
TY - CONF TI - Supporting the Implementation of Driving Simulator Environments Through Established GIS Approaches by Extending the Geospatial Data Abstraction Library (GDAL) with OpenDRIVE AU - Scholz, Michael AU - Orozco Idrobo, Ana María C1 - Stuttgart, Germany C3 - Proceedings of the Driving Simulation Conference 2017 Europe VR DA - 2017/09/06 PY - 2017 SP - 51 EP - 54 LA - en-US PB - Driving Simulation Association SN - 0769-0266 L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2017/supporting-the-implementation-of-driving-simulator-environments-through-established-gis-approaches-by-extending-the-geospatial-data-abstraction-library-gdal-with-opendrive ER -
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