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cat

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving

https://github.com/dataset-ninja/cat

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 58.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving

CaT is a dataset for semantic segmentation task.

Owner

  • Name: dataset-ninja
  • Login: dataset-ninja
  • Kind: organization

Citation (CITATION.md) 

If you make use of the CaT data, please cite the following reference:

``` apa
Z. Wang, J. Nakazato, M. Asad, E. Javanmardi and M. Tsukada, "Overcoming Environmental Challenges in CAVs through MEC-based Federated Learning,"
2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN), Paris, France, 2023, pp. 151-156, doi: 10.1109/ICUFN57995.2023.10200688.

S. Dokania, A. H. A. Hafez, A. Subramanian, M. Chandraker and C. V. Jawahar, "IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes," 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2023, pp. 4471-4480, doi: 10.1109/WACV56688.2023.00446.

D. W. Carruth, C. T. Walden, C. Goodin and S. C. Fuller, "Challenges in Low Infrastructure and Off-Road Automated Driving," 2022 
Fifth International Conference on Connected and Autonomous Driving (MetroCAD), Detroit, MI, USA, 2022, pp. 13-20, doi: 10.1109/MetroCAD56305.2022.00008.
```

[Source](https://ieeexplore.ieee.org/document/9721297/citations#citations)

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Dependencies

requirements.txt pypi