4 citations · 4 across the 4 of their papers we have counts for
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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.RO2024
Collision Probability Distribution Estimation via Temporal Difference Learning
Thomas Steinecker, Thorsten Luettel, Mirko Maehlisch
We introduce CollisionPro, a pioneering framework designed to estimate cumulative collision probability distributions using temporal difference learning, specifically tailored to a…