DeepScenario’s real-world traffic data
3D reconstruction of the static environment
3D detection of all dynamic objects in the scene
Association of all objects with a map of the road
Our latest datasets
The Hamburg Barmbek-Uhlenhorst Dataset offers complex urban scenarios, such as interactions at pedestrian crossings, that are well suited as test cases for urban automated driving.
The Munich Rheinstr. Dataset includes recordings from a +650 m section in downtown Munich and is ideal for learning urban driving functions.
The Los Angeles Interstate 5 Dataset contains interactive merging into dense traffic and provides deep exposure to interstate driving.
The Albuquerque Interstate 40 Dataset provides unique insights into interstate driving and is ideal for training and testing automated highway functions.
The Munich Dauchauer Str. Dataset contains complex scenarios at a busy intersection and can be used to test urban automated driving.
The Ludwigsburg Autobahn Dataset is well suited to test your software in challenging merging scenarios.
The Munich Rosental Dataset enables you to test your automated vehicle in bottleneck scenarios.
The Munich Suburban Roads Dataset allows you to test your software in the suburban domain.
The Renningen Roundabouts Dataset is particularly useful for testing in a highly interactive environment.
The Schwabing Intersections Dataset is well suited to test your automated driving stack in an urban environment.
We offer real-world edge-case scenarios at scale, tailored to your needs.
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