95 citations · 169 across the 5 of their papers we have counts for
5 papers
Fully-Convolutional Point Networks for Large-Scale Point Clouds
Dario Rethage, Johanna Wald, Jürgen Sturm +2
This work proposes a general-purpose, fully-convolutional network architecture for efficiently processing large-scale 3D data. One striking characteristic of our approach is its ab…
Visual-Inertial Teach and Repeat for Aerial Inspection
Marius Fehr, Thomas Schneider, Marcin Dymczyk +2
Industrial facilities often require periodic visual inspections of key installations. Examining these points of interest is time consuming, potentially hazardous or require special…
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai, Daniel Ritchie, Martin Bokeloh +3
We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D scan of a scene as input and predicting a complete 3D model along with per-voxel semantic labels…
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors
Maksym Dzitsiuk, Jürgen Sturm, Robert Maier +2
Creating 3D maps on robots and other mobile devices has become a reality in recent years. Online 3D reconstruction enables many exciting applications in robotics and AR/VR gaming.…
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects
Jürgen Sturm, Cyrill Stachniss, Wolfram Burgard
Robots operating in domestic environments generally need to interact with articulated objects, such as doors, cabinets, dishwashers or fridges. In this work, we present a novel, pr…