11 citations · 11 across the 5 of their papers we have counts for
5 papers
Vernata: Self-Supervised Learning of LiDAR Point Representations
Oliver Lemke, Alexander Liniger, Abel Gawel +1
LiDAR serves as a primary sensing modality for robots operating in outdoor environments. However, the performance of deep learning models in this domain is severely limited by the…
Prior-SG: Task and Prior Driven Region Segmentation for Scene Graphs in Arbitrarily-Structured Environments
Giorgio Tonetti, Laurent Kneip, Abel Gawel +1
Hierarchical 3D scene graphs are a promising representation for high-level spatial reasoning in autonomous mobile platforms. However, existing extraction frameworks typically rely…
Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
Marcus G Müller, Wout Boerdijk, Maximilian Durner +5
Terrain understanding is fundamental for mobile robots operating in unstructured outdoor environments. Existing vision-based traversability estimation methods rely on robot-specifi…
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes
Stamatios Georgoulis, Weining Ren, Alfredo Bochicchio +3
Rapid and reliable identification of dynamic scene parts, also known as motion segmentation, is a key challenge for mobile sensors. Contemporary RGB camera-based methods rely on mo…
U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization
Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger +2
Efficient relocalization is essential for intelligent vehicles when GPS reception is insufficient or sensor-based localization fails. Recent advances in Bird's-Eye-View (BEV) segme…