Zobrazeno 1 - 10
of 17 301
pro vyhledávání: '"Sandström, A."'
Simultaneous Localization and Mapping (SLAM) based on 3D Gaussian Splats (3DGS) has recently shown promise towards more accurate, dense 3D scene maps. However, existing 3DGS-based methods fail to address the global consistency of the scene via loop c
Externí odkaz:
http://arxiv.org/abs/2408.10154
Autor:
Puigjaner, Albert Gassol, Rella, Edoardo Mello, Sandström, Erik, Chhatkuli, Ajad, Van Gool, Luc
Implicit surfaces via neural radiance fields (NeRF) have shown surprising accuracy in surface reconstruction. Despite their success in reconstructing richly textured surfaces, existing methods struggle with planar regions with weak textures, which ac
Externí odkaz:
http://arxiv.org/abs/2408.08766
Autor:
Sandström, Hilda, Rinke, Patrick
The formation of aerosol particles in the atmosphere impacts air quality and climate change, but many of the organic molecules involved remain unknown. Machine learning could aid in identifying these compounds through accelerated analysis of molecula
Externí odkaz:
http://arxiv.org/abs/2406.18171
Linear temporal logic (LTL) is used in system verification to write formal specifications for reactive systems. However, some relevant properties, e.g. non-inference in information flow security, cannot be expressed in LTL. A class of such properties
Externí odkaz:
http://arxiv.org/abs/2406.04833
Autor:
Sandström, Erik, Tateno, Keisuke, Oechsle, Michael, Niemeyer, Michael, Van Gool, Luc, Oswald, Martin R., Tombari, Federico
3D Gaussian Splatting has emerged as a powerful representation of geometry and appearance for RGB-only dense Simultaneous Localization and Mapping (SLAM), as it provides a compact dense map representation while enabling efficient and high-quality map
Externí odkaz:
http://arxiv.org/abs/2405.16544
Autor:
Zhang, Ganlin, Sandström, Erik, Zhang, Youmin, Patel, Manthan, Van Gool, Luc, Oswald, Martin R.
Recent advancements in RGB-only dense Simultaneous Localization and Mapping (SLAM) have predominantly utilized grid-based neural implicit encodings and/or struggle to efficiently realize global map and pose consistency. To this end, we propose an eff
Externí odkaz:
http://arxiv.org/abs/2403.19549
Autor:
Schweiger, Gerald, Barnett, Adrian, Besselaar, Peter van den, Bornmann, Lutz, De Block, Andreas, Ioannidis, John P. A., Sandström, Ulf, Conix, Stijn
Research funding systems are not isolated systems - they are embedded in a larger scientific system with an enormous influence on the system. This paper aims to analyze the allocation of competitive research funding from different perspectives: How r
Externí odkaz:
http://arxiv.org/abs/2403.16934
Autor:
Tosi, Fabio, Zhang, Youmin, Gong, Ziren, Sandström, Erik, Mattoccia, Stefano, Oswald, Martin R., Poggi, Matteo
Over the past two decades, research in the field of Simultaneous Localization and Mapping (SLAM) has undergone a significant evolution, highlighting its critical role in enabling autonomous exploration of unknown environments. This evolution ranges f
Externí odkaz:
http://arxiv.org/abs/2402.13255
Neural RGBD SLAM techniques have shown promise in dense Simultaneous Localization And Mapping (SLAM), yet face challenges such as error accumulation during camera tracking resulting in distorted maps. In response, we introduce Loopy-SLAM that globall
Externí odkaz:
http://arxiv.org/abs/2402.09944
Aerosols found in the atmosphere affect the climate and worsen air quality. To mitigate these adverse impacts, aerosol formation and aerosol chemistry in the atmosphere need to be better mapped out and understood. Currently, mass spectrometry is the
Externí odkaz:
http://arxiv.org/abs/2309.02268