5 citations · 10 across the 5 of their papers we have counts for
6 papers
Mesh-based Object Tracking for Dynamic Semantic 3D Scene Graphs via Ray Tracing
Lennart Niecksch, Alexander Mock, Felix Igelbrink +2
In this paper, we present a novel method for 3D geometric scene graph generation using range sensors and RGB cameras. We initially detect instance-wise keypoints with a YOLOv8s mod…
FeatSense -- A Feature-based Registration Algorithm with GPU-accelerated TSDF-Mapping Backend for NVIDIA Jetson Boards
Julian Gaal, Thomas Wiemann, Alexander Mock +1
This paper presents FeatSense, a feature-based GPU-accelerated SLAM system for high resolution LiDARs, combined with a map generation algorithm for real-time generation of large Tr…
Towards 6D MCL for LiDARs in 3D TSDF Maps on Embedded Systems with GPUs
Marc Eisoldt, Alexander Mock, Mario Porrmann +1
Monte Carlo Localization is a widely used approach in the field of mobile robotics. While this problem has been well studied in the 2D case, global localization in 3D maps with six…
ddml: Double/debiased machine learning in Stata
Achim Ahrens, Christian B. Hansen, Mark E. Schaffer +1
We introduce the package ddml for Double/Debiased Machine Learning (DDML) in Stata. Estimators of causal parameters for five different econometric models are supported, allowing fo…
MICP-L: Mesh-based ICP for Robot Localization using Hardware-Accelerated Ray Casting
Alexander Mock, Sebastian Pütz, Thomas Wiemann +1
Triangle mesh maps are a versatile 3D environment representation for robots to navigate in challenging indoor and outdoor environments exhibiting tunnels, hills and varying slopes.…
Rmagine: 3D Range Sensor Simulation in Polygonal Maps via Raytracing for Embedded Hardware on Mobile Robots
Alexander Mock, Thomas Wiemann, Joachim Hertzberg
Sensor simulation has emerged as a promising and powerful technique to find solutions to many real-world robotic tasks like localization and pose tracking.However, commonly used si…