A9-Dataset: Multi-sensor data sets for mobility research
High resolution data sets
With a constellation of 7 sensor stations equipped with more than 60 state-of-the-art and multi-modal sensors, and with a road network coverage of approximately 3.5 kilometers, the a9-dataset offers mobility researchers, industry partners, public authorities and policy makers high-resolution curated data sets created by capturing real-world traffic along freeways, country roads and urban traffic intersections. The data sets contain on the one hand labelled, time-synchronized and anonymized multi-modal sensor data covering area-scanning cameras, doppler radars, lidars and event-triggered cameras for a variety of traffic and weather-related scenarios, and on the other hand abstract digital twins of the traffic objects with position and trajectory-related information.
Current Releases and Registration
The A9-Dataset is available for download upon registration. Please REGISTER HERE to receive the download links. The complete set currently includes the following major releases containing more than 17GB of data.
| Data set | Description |
|---|---|
| R1 | 3 different traffic scenarios from the autobahn. |
| R0 | Multiple sets of randomly selected camera and lidar sequences from the autobahn. |
Release notes
May 2022: The R1 release comes with time-synchronized multi-sensor data recorded for 3 different traffic scenarios from the A9 autobahn. They include labelled ground truth data for a couple of typical extreme weather situations that usually occur on the autobahn during winter. Heavy snow combined with strong gusts of wind and dense fog have always posed challenges for vision-based driving assistance and automation systems. With this release we offer researchers and engineers a new set of extreme weather ground truth data for the development of robust and weather-proof vision based systems. The R1 release now also includes an extended version of the high speed crash incident on the autobahn which was made available as part of the previous release. The time periods before and after the crash can now be investigated in more detail with this extended version.
March 2022: The R0 set contains labelled multi-sensor data with a mix of random and sequential traffic scenarios from the A9 autobahn. The data from this set can be used as ground truth for the development and verification of AI-based detectors, tracking and fusion algorithms, and to understand and analyze the occurrence and the after-effects of a typical high speed crash incident on the autobahn.
Roadmap
The upcoming releases will contain amidst others, digital twins with information about trajectory and position, new traffic scenarios, longer sequences, and new locations including an urban traffic intersection. Keep watching this space for more.
Citation
A scientific paper describing the A9-Dataset has been accepted for publication at the 33rd IEEE Intelligent Vehicles Symposium to be held between the 5th and 9th of June 2022 at Aachen, Germany. A preprint version is available HERE. We request users to cite this paper in your work.
Release R1 - Traffic Scenarios from the Autobahn
| R1_S1 | This set contains a 30s long multi-sensor sequence recorded in winter under heavy snow conditions. The data consists of time-synchronized images recorded at 10fps from 4 cameras observing a 400m long test stretch from multiple perspectives. The traffic objects are labelled with 3D bounding boxes and unique ids within each sensor frame to enable subsequent object-tracking and data-fusion. |
| R1_S2 | This set contains a 30s long multi-sensor sequence recorded during heavy fog conditions. |
| R1_S3 | This set contains a 60s long multi-sensor sequence covering the time period before, during and after the occurrence of a traffic accident. |
| R1_S1 | R1_S2 | R1_S3 |
|---|---|---|
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