JunhyeopLee / lidar_inpainting

LiDAR Inpainting Dataset

LiDAR Inpainting Dataset

This dataset is generated based on KITTI dataset.
This dataset is published under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License following the KITTI.

Download Link

You can download our dataset through below link. https://www.dropbox.com/scl/fi/u9n2n1cv62m7almq2w8pe/lidarinpaint.zip?rlkey=sqz2iqwv9tvae62bl4zah0bvg&dl=0

Dataset Folder Structure

This LiDAR inpainting dataset contains 3 folders and bin files are stored in each folder. Each bin file has 512 width and 64 height. Bin files in train and gt folder have 5 channels: depth, x, y, z, intensity. And mask bin files has only one channel, which is zero or one.

├── dataset
    ├── training
    │   ├── train
    │   │   ├── *.bin
    │   ├── gt
    │   │   ├── *.bin
    │   └── mask
    │       └── *.bin
    └── testing
        ├── train
        │   ├── *.bin
        ├── gt
        │   ├── *.bin
        └── mask
            └── *.bin

How to read LiDAR Inpainting dataset

Please loacate this file into the dataset folder to execute viewer example file with below command.

python dataloader_example.py

Citation

If you find our work useful in your research, please consider citing:

@article{lee2021sam,
  title={SAM-Net: LiDAR Depth Inpainting for 3D Static Map Generation},
  author={Lee, Junhyeop and Hwang, Sangwon and Kim, Woo Jin and Lee, Sangyoun},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2021},
  publisher={IEEE}
}