Miguel Granero — accepted AI-conference papers

2025

Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation

Raphael Hagmanns, Peter Mortimer, Miguel Granero, Thorsten Luettel, Janko Petereit

ICRA 2025

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 environment. Especially for unstructured outdoor environments, very few datasets exist for even fewer robotic platforms and scen

Cited by 10 Source ↗Scholar ↗

2024

The GOOSE Dataset for Perception in Unstructured Environments

Peter Mortimer, Raphael Hagmanns, Miguel Granero, Thorsten Luettel, Janko Petereit, Hans-Joachim Wuensche

ICRA 2024poster

The potential for deploying autonomous systems can be significantly increased by improving the perception and interpretation of the environment. However, the development of deep learning-based techniques for autonomous systems in unstructured outdoor environments poses challenges due to limited data…

Cited by 20 Source ↗Scholar ↗