WADS-3D is a critical supplementary dataset providing 3D bounding box labels specifically for use with the existing Lidar point cloud frames from the WADS (Winter Adverse Driving Dataset). The dataset's core purpose is to facilitate the quantitative analysis of how different harsh winter conditions, including varying snow fall intensities and winter storms, influence the performance of Lidar-based 3D object detection algorithms. WADS-3D includes a total of 22 individual 3D bounding box label files: 21 files correspond to sequences already available in the original WADS dataset, and one file covers a newly released Lidar frame sequence (Sequence 77), thereby expanding the WADS coverage. Users must download the corresponding raw Lidar frames from the original WADS dataset repository (https://digitalcommons.mtu.edu/wads/) to utilize these labels.

Recommended Citation

Yiming, Y., & Bos, J. (2025). WADS-3D Dataset. Retrieved from: https://digitalcommons.mtu.edu/wads-3d

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Submissions from 2025

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 11, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 12, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 13, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 14, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 15, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 16, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 17, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 18, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 20, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 22, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 23, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 24, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 26, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 28, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 30, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 34, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 35, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 36, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 37, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 76, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 77, Yiming Yang and Jeremy P. Bos

 

WADS 3D Object Detection Dataset (WADS-3D) - sequence 77 lidar, Yiming Yang and Jeremy P. Bos