autonomous vehicles computer vision deep learning lidar machine learning mapping robotics
An open multi-sensor dataset for autonomous driving research. This dataset comprises semantically segmented images, semantic point clouds, and 3D bounding boxes. In addition, it contains unlabelled 360 degree camera images, lidar, and bus data for three sequences. The dataset supports learning tasks such as semantic segmentation, 3D object detection, SLAM, and depth estimation. We hope this dataset will further facilitate active research and development in AI, computer vision, and robotics for autonomous driving.
The dataset may be updated with additional or corrected data on a need-to-update basis.
https://creativecommons.org/licenses/by-nd/4.0/
https://a2d2-dataset.github.io
Mentar Mahmudi, Jakob Geyer, Lorenz Hauswald
See all datasets managed by Mentar Mahmudi, Jakob Geyer, Lorenz Hauswald.
A2D2: Audi Autonomous Driving Dataset was accessed on DATE from https://registry.opendata.aws/aev-a2d2.
arn:aws:s3:::aev-autonomous-driving-dataseteu-central-1aws s3 ls --no-sign-request s3://aev-autonomous-driving-dataset/arn:aws:s3:::audi-autonomous-driving-dataseteu-central-1aws s3 ls --no-sign-request s3://audi-autonomous-driving-dataset/