19 citations · 25 across the 9 of their papers we have counts for
15 papers
Viking Hill Dataset: A Lidar-Radar-Camera Dataset for Detection and Segmentation in Forest Scenes
Vladimír Kubelka, Oleksandr Kotlyar, Unal Artan +1
Autonomous robots operating under forest canopies need robust perception of trees and surrounding vegetation across varying seasonal conditions. Existing forestry datasets provide…
Legible and Intuitive Multi-modal Robot State and Intent Communication Validated in Online and Real-world Studies
Tim Schreiter, Jens V. Rüppel, Andrey Rudenko +2
Effective robot-to-human communication can increase transparency and trust, reduce uncertainty, and contribute to safer collaboration in shared workspaces. Designing and validating…
Large-scale visual SLAM for in-the-wild videos
Shuo Sun, Torsten Sattler, Malcolm Mielle +2
Accurate and robust 3D scene reconstruction from casual, in-the-wild videos can significantly simplify robot deployment to new environments. However, reliable camera pose estimatio…
THÖR-MAGNI: A Large-scale Indoor Motion Capture Recording of Human Movement and Robot Interaction
Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu +7
We present a new large dataset of indoor human and robot navigation and interaction, called THÖR-MAGNI, that is designed to facilitate research on social navigation: e.g., modellin…
High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal +1
We propose a dense RGBD SLAM system based on 3D Gaussian Splatting that provides metrically accurate pose tracking and visually realistic reconstruction. To this end, we first prop…
3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal +1
Neural implicit surface representations are currently receiving a lot of interest as a means to achieve high-fidelity surface reconstruction at a low memory cost, compared to tradi…