7 papers · 1 filter
Visual Cue Guided Video Planning for Generalizable Robot Navigation
Hojin Lee, Sizhe Lester Li, Maximilian Hilger +4
Generative video models can serve as a promising backbone for robot navigation by predicting future observations as video plans. Recent approaches often condition video planning on…
CFEAR-Teach-and-Repeat: Fast and Accurate Radar-only Localization
Maximilian Hilger, Daniel Adolfsson, Ralf Becker +2
Reliable localization in prior maps is essential for autonomous navigation, particularly under adverse weather, where optical sensors may fail. We present CFEAR-TR, a teach-and-rep…
Collecting Human Motion Data in Large and Occlusion-Prone Environments using Ultra-Wideband Localization
Janik Kaden, Maximilian Hilger, Tim Schreiter +5
With robots increasingly integrating into human environments, understanding and predicting human motion is essential for safe and efficient interactions. Modern human motion and ac…
Introspective Loop Closure for SLAM with 4D Imaging Radar
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson +3
Simultaneous Localization and Mapping (SLAM) allows mobile robots to navigate without external positioning systems or pre-existing maps. Radar is emerging as a valuable sensing too…
RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform
Maximilian Hilger, Nils Mandischer, Burkhard Corves
Rescue robotics sets high requirements to perception algorithms due to the unstructured and potentially vision-denied environments. Pivoting Frequency-Modulated Continuous Wave rad…
Towards introspective loop closure in 4D radar SLAM
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson +2
Imaging radar is an emerging sensor modality in the context of Localization and Mapping (SLAM), especially suitable for vision-obstructed environments. This article investigates th…