Integration of multiple sensor modalities and deep learning into Simulta...
The exploration of large-scale unknown environments can benefit from the...
Semantic segmentation for robotic systems can enable a wide range of
app...
This paper reports on the state of the art in underground SLAM by discus...
In this paper, we deal with the problem of creating globally consistent ...
In this paper, we propose a robust end-to-end multi-modal pipeline for p...
With the advent of powerful, light-weight 3D LiDARs, they have become th...
We propose PHASER, a correspondence-free global registration of
sensor-c...
In this paper, we present a semantic mapping approach with multiple
hypo...
This paper presents the perception, mapping, and planning pipeline
imple...
Robust and accurate pose estimation is crucial for many applications in
...