Collected in the snow belt region of Michigan's Upper Peninsula, The Winter Adverse Driving dataSet (WADS) is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather. Over 26 TB of multi-modal data has been collected of which over 7 GB of LiDAR point clouds (3.6 billion points) have been labeled (semanticKITTI format) and made available here. This outdoor dataset introduces falling snow and accumulated snow along with all the semanticKITTI classes. The researchers believe this dataset will further AV tasks like semantic and panoptic segmentation, object detection and tracking, and localization and mapping in conditions of moderate to severe snow.

Recommended Citation

Kurup, A., & Bos, J. (2021). The Winter Adverse Driving dataSet (WADS). Retrieved from: https://digitalcommons.mtu.edu/wads/