Description
The Apron Dataset focuses on training and evaluating classification and detection models for airport-apron logistics. In addition to bounding boxes and object categories the dataset is enriched with meta parameters to quantify the models’ robustness against environmental influences.
| Date made available | 2022 |
|---|---|
| Temporal coverage | 2020 |
| Date of data production | 2020 |
Research Field
- Assistive and Autonomous Systems
Research output
- 1 Conference Proceedings with Oral Presentation
-
Towards Scene Understanding for Autonomous Operations on Airport Aprons
Steininger, D. (Speaker, Keynote), Kriegler, A. (Autor, Keynote), Pointner, W. (Autor, Keynote), Widhalm, V. (Autor, Keynote), Simon, J. (Autor, Keynote) & Zendel, O. (Autor, Keynote), 2022, Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops. p. 147-163 17 p.Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review
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