by Jakob GeyerCC BY-ND
by Jakob GeyerLicense : CC BY-ND
We have published the Audi Autonomous Driving Dataset (A2D2) to support startups and academic researchers working on autonomous driving. Equipping a vehicle with a multimodal sensor suite, recording a large dataset, and labelling it, is time and labour intensive. Our dataset removes this high entry barrier and frees researchers and developers to focus on developing new technologies instead. The dataset features 2D semantic segmentation, 3D point clouds, 3D bounding boxes, and vehicle bus data.
Our dataset includes more than 40,000 frames with semantic segmentation image and point cloud labels, of which more than 12,000 frames also have annotations for 3D bounding boxes. In addition, we provide unlabelled sensor data (approx. 390,000 frames) for sequences with several loops, recorded in three cities.