5 citations · 9 across the 11 of their papers we have counts for
5 papers · 1 filter
Invascal: Inverse-Vacuity Self-Calibration for Uncertainty-Aware LiDAR Range-View Semantic Segmentation
Kerim Turacan, Hannes Reichert, Andrei Bolandut +1
LiDAR semantic segmentation is a core perception capability for autonomous vehicles and mobile robots. However, safe operation also depends on knowing when predictions are unreliab…
LiDAR Based Semantic Perception for Forklifts in Outdoor Environments
Benjamin Serfling, Hannes Reichert, Lorenzo Bayerlein +2
In this study, we present a novel LiDAR-based semantic segmentation framework tailored for autonomous forklifts operating in complex outdoor environments. Central to our approach i…
Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans
Hannes Reichert, Benjamin Serfling, Elijah Schüssler +3
In recent studies, numerous previous works emphasize the importance of semantic segmentation of LiDAR data as a critical component to the development of driver-assistance systems a…
Height Change Feature Based Free Space Detection
Steven Schreck, Hannes Reichert, Manuel Hetzel +2
In the context of autonomous forklifts, ensuring non-collision during travel, pick, and place operations is crucial. To accomplish this, the forklift must be able to detect and loc…
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Hannes Reichert, Lukas Lang, Kevin Rösch +6
Full-stack autonomous driving perception modules usually consist of data-driven models based on multiple sensor modalities. However, these models might be biased to the sensor setu…