Automatic Conversion of Road Networks from OpenDRIVE to Lanelets

Matthias Althoff, Stefan Urban, Markus Koschi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

44 Scopus citations

Abstract

Detailed road maps are an important building block for autonomous driving. They accelerate creating a semantic environment model within the vehicle and serve as a backup solution when sensors are occluded or otherwise impaired. Due to the required detail of maps for autonomous driving and virtual test drives, creating such maps is quite labor-intensive. While some detailed maps for fairly large regions already exist, they are often in different formats and thus cannot be exchanged between companies and research institutions. To address this problem, we present the first publicly available converter from the OpenDRIVE format to lanelets - both representations are among the most popular map formats. We demonstrate the capabilities of the converter by using publicly available maps.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-162
Number of pages6
ISBN (Electronic)9781538645222
DOIs
StatePublished - 28 Sep 2018
Event2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018 - Singapore, Singapore
Duration: 31 Jul 20182 Aug 2018

Publication series

NameProceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018

Conference

Conference2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018
Country/TerritorySingapore
CitySingapore
Period31/07/182/08/18

Fingerprint

Dive into the research topics of 'Automatic Conversion of Road Networks from OpenDRIVE to Lanelets'. Together they form a unique fingerprint.

Cite this