48 citations · 50 across the 6 of their papers we have counts for
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cs.RO2024
Impact of 3D LiDAR Resolution in Graph-based SLAM Approaches: A Comparative Study
J. Jorge, T. Barros, C. Premebida +3
Simultaneous Localization and Mapping (SLAM) is a key component of autonomous systems operating in environments that require a consistent map for reliable localization. SLAM has be…
cs.RO2024
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation
Philipp Quentin, Daniel Goehring
For the use of 6D pose estimation in robotic applications, reliable poses are of utmost importance to ensure a safe, reliable and predictable operational performance. Despite these…
cs.RO2024★ 48 cited
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain Estimation
Nicolai Steinke, Daniel Göhring, Raùl Rojas
The precise point cloud ground segmentation is a crucial prerequisite of virtually all perception tasks for LiDAR sensors in autonomous vehicles. Especially the clustering and extr…