11 citations · 11 across the 5 of their papers we have counts for
5 papers
Scalix: Uncertainty-Aware Scale-Consistent Monocular SLAM
Sebastian Barbas Laina, Tianyi Zhang, Panagiotis Petropoulakis +5
Cameras are ubiquitous sensors in robotics due to their compact form factor and the perceptual richness captured through visual information. Monocular SLAM enables robots to unders…
SpotlessGS: Relightable 3D Gaussian Splatting under Dynamic Illumination for Robotic Perception
Liang Hong, Jiaxin Wei, Simon Schaefer +2
Robots operating in dark or poorly lit environments rely on onboard lights, which often produce uneven illumination that degrades downstream perception tasks. Prior approaches base…
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
Simon Boche, Jaehyung Jung, Sebastián Barbas Laina +1
To empower mobile robots with usable maps as well as highest state estimation accuracy and robustness, we present OKVIS2-X: a state-of-the-art multi-sensor Simultaneous Localizatio…
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment
Sebastián Barbas Laina, Simon Boche, Sotiris Papatheodorou +4
Geometrically accurate and semantically expressive map representations have proven invaluable for robot deployment and task planning in unknown environments. Nevertheless, real-tim…
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping
Jaehyung Jung, Simon Boche, Sebastián Barbas Laina +1
We propose visual-inertial simultaneous localization and mapping that tightly couples sparse reprojection errors, inertial measurement unit pre-integrals, and relative pose factors…