513 citations · 945 across the 9 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds
Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch +3
The perception of moving objects is crucial for autonomous robots performing collision avoidance in dynamic environments. LiDARs and cameras tremendously enhance scene interpretati…
cs.RO2023★ 50 cited
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation
Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen +3
Mobile robots that navigate in unknown environments need to be constantly aware of the dynamic objects in their surroundings for mapping, localization, and planning. It is key to r…