8 citations · 16 across the 6 of their papers we have counts for
6 papers
An RTK-SLAM Dataset for Absolute Accuracy Evaluation in GNSS-Degraded Environments
Wei Zhang, Vincent Ress, David Skuddis +2
RTK-SLAM systems integrate simultaneous localization and mapping (SLAM) with real-time kinematic (RTK) GNSS positioning, promising both relative consistency and globally referenced…
BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
David Skuddis, Vincent Ress, Wei Zhang +2
We present BEV-SLD, a LiDAR global localization method building on the Scene Landmark Detection (SLD) concept. Unlike scene-agnostic pipelines, our self-supervised approach leverag…
3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments
Vincent Ress, Jonas Meyer, Wei Zhang +3
The field of visual localization has been researched for several decades and has meanwhile found many practical applications. Despite the strong progress in this field, there are s…
HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction
Wei Zhang, Qing Cheng, David Skuddis +3
We present HI-SLAM2, a geometry-aware Gaussian SLAM system that achieves fast and accurate monocular scene reconstruction using only RGB input. Existing Neural SLAM or 3DGS-based S…
SLAM for Indoor Mapping of Wide Area Construction Environments
Vincent Ress, Wei Zhang, David Skuddis +2
Simultaneous localization and mapping (SLAM), i.e., the reconstruction of the environment represented by a (3D) map and the concurrent pose estimation, has made astonishing progres…
DMSA -- Dense Multi Scan Adjustment for LiDAR Inertial Odometry and Global Optimization
David Skuddis, Norbert Haala
We propose a new method for fine registering multiple point clouds simultaneously. The approach is characterized by being dense, therefore point clouds are not reduced to pre-selec…