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Extension of the Geospatial Data Abstraction Library (GDAL/OGR) for OpenDRIVE Support in GIS Applications for Visualisation and Data Accumulation for Driving Simulators

Orozco Idrobo, Ana Maria (2015) Extension of the Geospatial Data Abstraction Library (GDAL/OGR) for OpenDRIVE Support in GIS Applications for Visualisation and Data Accumulation for Driving Simulators. Master's, Technische Universität München.

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Abstract

Intelligen Transportation Systems (ITS) are envisioned to improve road safety, traffic effciency, sustainable transport and information services, through multi-modal means of transportation and its integration across an Information and Communications (ICT) platform. In this sense, many location-based services demand the support of speciffc source of georeferenced data and its modeling. Due to the nature of the spatial data, Geographic Information Systems (GIS) and techniques are required for the analysis and manipulation of geodata. Moreover, given the intrinsic relationship between ITS and the geo-sciences, the terms GIS-T or Geo-ITS have been coined in the last years. Major challenges regarding the transport networks generation include the heterogeneity of the data and the diversity of the sources, as well as, different content and formats. In addition to this, the geodata require accuracy and precision, particularly for simulation purposes and real-world implementations. In this context, the spatial data are key components for the simulation and the spatial processing engines in the ITS sphere. Nevertheless, one problem is the few available geotools for management and visualization of the data, for one of the most used simulation formats: the OpenDRIVE standard. OpenDRIVE is considered the standard de-facto for the driving simulation community, however, few management tools have been provided to facilitate the manipulation and visualization of these data. For this reason, this master thesis focuses on the conceptualization, modeling and implementation of the XODR-Driver; a geo-processing toolbox for the OpenDRIVE data format. The XODR-Driver provides the functionality to translate the OpenDRIVE files to the standard GIS vectorial representation. XODR-Driver also enables the general GIS framework and its inherit vectorial operations for the OpenDRIVE format. The contribution of this work is the OpenDRIVE XODR-Driver, a functional software module, with a modular architecture which implements the mathematical models for the road layout descriptions of the reference line or track.

Item URL in elib:https://elib.dlr.de/103827/
Document Type:Thesis (Master's)
Title:Extension of the Geospatial Data Abstraction Library (GDAL/OGR) for OpenDRIVE Support in GIS Applications for Visualisation and Data Accumulation for Driving Simulators
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Orozco Idrobo, Ana MariaAna.OrozcoIdrobo (at) dlr.deUNSPECIFIED
Date:11 December 2015
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:ITS, OpenDRIVE, XODR, GDAL, OGR, spatial data, geographic information system, GIS, driving simulation, simple features, OGC, vector data, transport, geometry, visualisation, standard, open source
Institution:Technische Universität München
Department:Lehrstuhl für Verkehrstechnik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Scholz, Michael
Deposited On:18 Apr 2016 08:17
Last Modified:31 Jul 2019 20:01

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