Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Laina, Sebastián Barbas"'
Autonomous exploration of unknown space is an essential component for the deployment of mobile robots in the real world. Safe navigation is crucial for all robotics applications and requires accurate and consistent maps of the robot's surroundings. T
Externí odkaz:
http://arxiv.org/abs/2409.16972
We propose visual-inertial simultaneous localization and mapping that tightly couples sparse reprojection errors, inertial measurement unit pre-integrals, and relative pose factors with dense volumetric occupancy mapping. Hereby depth predictions fro
Externí odkaz:
http://arxiv.org/abs/2409.12051
This paper proposes SOLVR, a unified pipeline for learning based LiDAR-Visual re-localisation which performs place recognition and 6-DoF registration across sensor modalities. We propose a strategy to align the input sensor modalities by leveraging s
Externí odkaz:
http://arxiv.org/abs/2409.10247
Autor:
Laina, Sebastián Barbas, Boche, Simon, Papatheodorou, Sotiris, Tzoumanikas, Dimos, Schaefer, Simon, Chen, Hanzhi, Leutenegger, Stefan
Forestry constitutes a key element for a sustainable future, while it is supremely challenging to introduce digital processes to improve efficiency. The main limitation is the difficulty of obtaining accurate maps at high temporal and spatial resolut
Externí odkaz:
http://arxiv.org/abs/2403.09596
Autonomous navigation is one of the key requirements for every potential application of mobile robots in the real-world. Besides high-accuracy state estimation, a suitable and globally consistent representation of the 3D environment is indispensable.
Externí odkaz:
http://arxiv.org/abs/2403.02280