Autonomous Unmanned Aerial Vehicle (UAV) navigation in urban environments requires precise pose estimation. Because Global Navigation Satellite System (GNSS) signals are often unreliable in cities, visual localization serves as a crucial complement. Within this domain, textureless Level-of-Detail (LoD) city models prov...
Oussema Dhaouadi, Z. Bauer, Johannes Meier et al.· 1 citation
Aerial visual localization is crucial for autonomous drone navigation in urban environments where GNSS signals are often degraded. Lightweight textureless Level-of-Detail (LoD) city models provide a geometric map alternative to textured assets. Existing silhouette-based methods rely on image-space alignment, which can...
Oussema Dhaouadi, Jie-Hu-Chen Shao, Jakob Gollreiter et al.· 1 citation
Monocular temporal 3D detection aims to detect objects in 3D, given a monocular video. Query-based 3D detectors unify detection and cross-view association, but their learnable queries fit the spatial distribution of the training data (e.g., field-of-view). We show that this issue is especially severe when these models...
M. Kotb, Johannes Meier, Christoph Reich et al.· 0 citations
GaussianDet3D is presented, the first method to apply 3D Gaussian Splatting from multi-view images to 3D object detection in the context of autonomous driving, treating predicted Gaussian primitives as a pseudo-LiDAR point cloud fed into a sparse LiDAR detector.
Malaz Tamim, Wenzhao Zheng, Johannes Meier et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
