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- Title:
Autonomous Driver Licence (ADL) dataset
- Document type:
- Forschungsdaten
- Publication date:
- 01.08.2025
- Responsible:
- Kulmer, Dominik
- Authors:
- Kulmer, Dominik; Tahiraj, Ilir; Lienkamp, Markus
- Author affiliation:
- TUM
- Publisher:
- TUM
- Identifier:
- doi:10.14459/2025mp1785105
- End date of data production:
- 06.07.2025
- Subject area:
- DAT Datenverarbeitung, Informatik; VER Technik der Verkehrsmittel
- Resource type:
- Experimente und Beobachtungen / experiments and observations
- Data type:
- Datenbanken / data bases
- Other data type:
- Pointcloud map; lanelet2 map; PCD; TXT; ROS2
- Description:
- The Autonomous Driver License (ADL) dataset reflects the challenge of autonomous driving in various domains of public traffic. To successfully master the ADL route, it is necessary that the autonomous system masters scenarios from rushed inner-city traffic to high-speeds on highways. The data set supports the preparation for the challenge in the scope of the IAA MOBILITY 2025. The data is composed of a continuous drive in the greater Munich area and includes sensor data and processed data. Senso... »
- Method of data assessment:
- The data set was recorded using the TUM research vehicle EDGAR in the greater Munich area. The open-source algorithm OpenLiDARMap was used for point cloud mapping. The lanelet2 map was created manually.
- Links:
The dataset was collected with the research vehicle EDGAR:
https://doi.org/10.48550/arXiv.2309.15492
The point cloud map was created with OpenLiDARMap: https://github.com/tumFTM/openlidarmap- Key words:
- Autonomous Driving; Autonomous Driver Licence; EDGAR
- Technical remarks:
- View and download (222 GB total, 38666 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1785105):
rsync rsync://m1785105@dataserv.ub.tum.de/m1785105/ - Language:
- de
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
BibTeX
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