LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. Biasutti, P., Lepetit, V., Aujol, J., Brédif, M., & Bugeau, A. In ICCV Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving, 2019.
bibtex   
@inproceedings{Biasutti19,
  author = {Pierre Biasutti and Vincent Lepetit and Jean-François Aujol and Mathieu Brédif and Aurélie Bugeau},
  title = {{LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net}},
  booktitle = {{ICCV Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving}},
  year = 2019,
  weblink = {https://arxiv.org/pdf/1908.11656.pdf},
  img = {images/paper_thumbnails/biasutti_iccvw19.png}
}

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