COVERED: CollabOratiVE Robot Environment dataset for 3D Semantic segmentation

We provide a Dataset for 3D point cloud semantic segmentation in robotic industrial environment. you can find more information in our paper.

This work was develope by MindLAb of Zurich University of Applied Science (ZHAW).

idx_to_label = {0: "Unlabeled", 1: "Floor", 2: "Wall", 3: "Robot", 4: "Human", 5: "AGV" }

Citation:

If you find this useful for your research, please cite the following paper:

@INPROCEEDINGS{9921525,
    author={Munasinghe, Charith and Amin, Fatemeh Mohammadi and Scaramuzza, Davide and van de Venn, Hans Wernher},
    booktitle={2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}, 
    title={COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation}, 
    year={2022},
    doi={10.1109/ETFA52439.2022.9921525}
    }