Ahmad Osman — accepted AI-conference papers

2025

Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments

Mingrui Li, Yiming Zhou, Hongxing Zhou, Xinggang Hu, Florian Roemer, Hongyu Wang +1

ICRA 2025

Current Simultaneous Localization and Mapping (SLAM) methods based on Neural Radiance Fields (NeRF) or 3D Gaussian Splatting excel in reconstructing static 3D scenes but struggle with tracking and reconstruction in dynamic environments, such as real-world scenes with moving elements. Existing NeRF-b

Cited by 12 Source ↗Scholar ↗

2017

Sparse Signal Recovery for ultrasonic detection and reconstruction of shadowed flaws

Jan Kirchhof, Fabian Krieg, Florian Roemer, Alexander Ihlow, Ahmad Osman, Giovanni Del Galdo

ICASSP 2017accepted

In this paper we propose a method to improve the detection of shadowed flaws in ultrasonic non-destructive testing (NDT). The B-scans are expressed in the context of Sparse Signal Recovery (SSR), where the shadowing effect is incorporated during the reconstruction: Whenever a new defect is found, it…

Cited by 0 Source ↗Scholar ↗