Sebastian Eger — accepted AI-conference papers

2024

BoxGrounder: 3D Visual Grounding Using Object Size Estimates

Martin Piccolrovazzi, Michael G. Adam, Marsil Zakour, Sebastian Eger, Eckehard G. Steinbach

RA-L 2024

Recent advances in simultaneous localization and mapping (SLAM) systems have significantly enhanced the process of creating 3D digital replicas of real-world environments. Numerous applications utilizing these digital twins generally necessitate object-level annotations, which are challenging to acq

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2024

HPF-SLAM: An Efficient Visual SLAM System Leveraging Hybrid Point Features

Xin Su, Sebastian Eger, Adam Misik, Dong Yang, Rastin Pries, Eckehard Steinbach

ICRA 2024poster

Visual SLAM is an essential tool in diverse applications such as robot perception and extended reality, where feature-based methods are prevalent due to their accuracy and robustness. However, existing methods employ either hand-crafted or solely learnable point features and are thus limited by the…

Cited by 1 Source ↗Scholar ↗