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20242026
most citedAccurate Pose Prediction on Signed Distance Fields for Mobile Ground Robots in Rough Terrain

1 citations · 1 across the 5 of their papers we have counts for

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cs.RO2024

Efficient Dynamic LiDAR Odometry for Mobile Robots with Structured Point Clouds

Jonathan Lichtenfeld, Kevin Daun, Oskar von Stryk

We propose a real-time dynamic LiDAR odometry pipeline for mobile robots in Urban Search and Rescue (USAR) scenarios. Existing approaches to dynamic object detection often rely on…

cs.RO2024★ 1 cited

Accurate Pose Prediction on Signed Distance Fields for Mobile Ground Robots in Rough Terrain

Martin Oehler, Oskar von Stryk

Autonomous locomotion for mobile ground robots in unstructured environments such as waypoint navigation or flipper control requires a sufficiently accurate prediction of the robot-…