Autonomous Driver Licence (ADL) dataset

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. Sensor data includes, among others: LiDAR (Binary, PCD), RTK-GNSS (TXT), IMU (TXT), and vehicle-internal odometry data (TXT). The processed data is composed of a high-resolution, georeferenced point cloud map (Binary, PCD) and a semantic lane-level vector map (lanelet2). In addition, the dataset contains a ROS 2 bag for simulation with Autoware.