5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.RO2026
MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving
Thomas Steinecker, Denis Trescher, Alexander Bienemann +2
Reinforcement learning constitutes a promising approach owing to its potential for superhuman performance and self-learned policies. However, its application to real-world autonomo…
cs.CV2024★ 1 cited
Survey on Datasets for Perception in Unstructured Outdoor Environments
Peter Mortimer, Mirko Maehlisch
Perception is an essential component of pipelines in field robotics. In this survey, we quantitatively compare publicly available datasets available in unstructured outdoor environ…
cs.CV2023★ 5 cited
Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors
Andreas Reich, Mirko Maehlisch
Low-latency instance segmentation of LiDAR point clouds is crucial in real-world applications because it serves as an initial and frequently-used building block in a robot's percep…