3.5k citations · 4.8k across the 5 of their papers we have counts for
3 papers · 1 filter
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
Berta Bescos, José Neira, Roland Siegwart +1
In this paper we present an end-to-end deep learning framework to turn images that show dynamic content, such as vehicles or pedestrians, into realistic static frames. This objecti…
Dynamic Objects Segmentation for Visual Localization in Urban Environments
Guoxiang Zhou, Berta Bescos, Marcin Dymczyk +3
Visual localization and mapping is a crucial capability to address many challenges in mobile robotics. It constitutes a robust, accurate and cost-effective approach for local and g…
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
Berta Bescos, José M. Fácil, Javier Civera +1
The assumption of scene rigidity is typical in SLAM algorithms. Such a strong assumption limits the use of most visual SLAM systems in populated real-world environments, which are…