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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 157-162 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538645222 |
| DOIs | |
| State | Published - 28 Sep 2018 |
| Event | 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018 - Singapore, Singapore Duration: 31 Jul 2018 → 2 Aug 2018 |
Publication series
| Name | Proceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018 |
|---|
Conference
| Conference | 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 31/07/18 → 2/08/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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