From the 2 of 36 linked papers with an AI index.
39 papers
Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging
Tim-Felix Fassch, Jochen Kall, Cyrill Stachniss
3D scene reconstruction, modeling, and rendering are highly relevant for numerous tasks, and 3D Gaussian splatting has become a standard choice in this context. Its feed-forward va…
Robust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions
Balázs Opra, Léo Ghafari, Thomas Stewart +1
Real-time 6-DoF object pose tracking is essential for many robotics applications, and several approaches exist. Yet even today's approaches remain unreliable under temporary full o…
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
Michael Halstead, Esra Guclu, Mohamed Farag +7
The paper introduces two new datasets of tomato plants captured by a robot—still images (BUTom21) and video sequences (BUTom-ST21)—with pixel‑level annotations for fruit detection,…
Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure
Saurabh Gupta, Niklas Trekel, Louis Wiesmann +1
High-quality maps are fundamental for robotics tasks such as navigation and planning. Although modern graph-based LiDAR SLAM systems achieve good trajectory accuracies, a low traje…
TASE: Truncation-Aware Semantic Embeddings for 3D Scene Understanding and Editing
Tim-Felix Faasch, Jochen Kall, Lucas Nunes +2
High-fidelity semantic 3D scene representations are crucial for numerous applications, including robotics, autonomous driving, and simulation. Beyond this, the ability to edit such…
LiPS: Lightweight Panoptic Segmentation for Resource-Constrained Robotics
Calvin Galagain, Martyna Poreba, François Goulette +1
Panoptic segmentation is a key enabler for robotic perception, as it unifies semantic understanding with object-level reasoning. However, the increasing complexity of state-of-the-…