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Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery

Fischer, Peter and Azimi, Seyedmajid and Roschlaub, Robert and Krauß, Thomas (2018) Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery. ISPRS International Journal of Geo-Information, 7 (12), pp. 1-14. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/ijgi7120458 ISSN 2220-9964

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Official URL: https://www.mdpi.com/2220-9964/7/12/458

Abstract

The upraise of autonomous driving technologies asks for maps characterized bya broad range of features and quality parameters, in contrast to traditional navigation maps which in most cases are enriched graph-based models. This paper tackles several uncertainties within the domain of HD Maps. The authors give an overview about the current state in extracting road features from aerial imagery for creating HD maps, before shifting the focus of the paper towards remote sensing technology. Possible data sources and their relevant parameters are listed. A random forest classifier is used, showing how these data can deliver HD Maps on a country-scale, meeting specific quality parameters.

Item URL in elib:https://elib.dlr.de/124014/
Document Type:Article
Title:Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fischer, PeterAUDI AG, 85045 IngolstadtUNSPECIFIED
Azimi, SeyedmajidSeyedmajid.Azimi (at) dlr.dehttps://orcid.org/0000-0002-6084-2272
Roschlaub, RobertBavarian Agency for Digitisation, High Speed Internet and Surveying, 80538 MünchenUNSPECIFIED
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:26 November 2018
Journal or Publication Title:ISPRS International Journal of Geo-Information
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:7
DOI :10.3390/ijgi7120458
Page Range:pp. 1-14
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2220-9964
Status:Published
Keywords:autonomous driving; HD maps; aerial imagery
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:30 Nov 2018 14:40
Last Modified:21 Sep 2019 05:05

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