313 citations · 317 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 4 cited
Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation
Raphael Hagmanns, Peter Mortimer, Miguel Granero +2
The successful deployment of deep learning-based techniques for autonomous systems is highly dependent on the data availability for the respective system in its deployment environm…
cs.CV2023★ 313 cited
The GOOSE Dataset for Perception in Unstructured Environments
Peter Mortimer, Raphael Hagmanns, Miguel Granero +3
The potential for deploying autonomous systems can be significantly increased by improving the perception and interpretation of the environment. However, the development of deep le…