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A flexibly linkable meta layer of geographic features supplementary for driving automation and simulation

Ebendt, Rüdiger (2020) A flexibly linkable meta layer of geographic features supplementary for driving automation and simulation. In: Driving Simulation and Virtual Reality Conference and Exhibition, DSC 2020 EUROPE, pp. 19-26. 19th Driving Simulation & Virtual Reality Conference & Exhibition (DSC 2020 EUROPE VR), 9.-11. Sept. 2020, Antibes, Frankreich. ISBN 978-2-9573777-0-1. ISSN 2115-418X.

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Official URL: https://proceedings.driving-simulation.org/proceeding/dsc-2020/a-flexibly-linkable-meta-layer-of-geographic-features-supplementary-for-driving-automation-and-simulation/

Abstract

In this paper, a data model named Road2Automation is introduced, aiming at supplementing road information in today's digital road maps with (georeferenced) features which are relevant to driving automation and driving simulation. It addresses maps of diverse levels of detail, precision and format (ranging from High-Definition (HD) maps to crowd-sourced data from OpenStreetMap (OSM)), and facilitates transfer of the features between maps. To this end, each feature is annotated by a logical link to its source map and by map-agnostic OpenLR references. Runtime modules for location referencing like OpenLR and a map-independent geometrical inter-map matching algorithm are needed which match georeferenced features between an arbitrary pair of source and target map. In effect, a meta layer on top of all source and target maps is realized. The meta layer addresses use cases ranging from localization, global path planning, driving simulation, and safety of autonomous transport to route planning and navigation. The model has an extendible design where new, arbitrarily complex composite keys for the logical links can be added. Existing keys or components of existing composite keys are reused, whenever new keys are constructed. On the persistence layer, this keeps the number of required database columns small.

Item URL in elib:https://elib.dlr.de/142835/
Document Type:Conference or Workshop Item (Speech)
Title:A flexibly linkable meta layer of geographic features supplementary for driving automation and simulation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ebendt, RüdigerRuediger.Ebendt (at) dlr.dehttps://orcid.org/0000-0002-3565-7024
Date:2020
Journal or Publication Title:Driving Simulation and Virtual Reality Conference and Exhibition, DSC 2020 EUROPE
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 19-26
Editors:
EditorsEmailEditor's ORCID iD
Kemeny, AndrasDriving Simulation Association / IFSTTARUNSPECIFIED
Series Name:Actes (IFSTTAR)
ISSN:2115-418X
ISBN:978-2-9573777-0-1
Status:Published
Keywords:driving automation, driving simulation, data model, geographic feature, meta layer
Event Title:19th Driving Simulation & Virtual Reality Conference & Exhibition (DSC 2020 EUROPE VR)
Event Location:Antibes, Frankreich
Event Type:international Conference
Event Dates:9.-11. Sept. 2020
Organizer:Driving Simulation Association
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Ebendt, Dr.rer.nat. Rüdiger
Deposited On:25 Jun 2021 14:49
Last Modified:28 Jun 2021 08:49

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