DL-VINS-Factory integrates learned extractors (ALIKED, RaCo, SuperPoint, XFeat) with LK or LightGlue tracking in a shared Ceres VI-SLAM back-end and reports modest ATE reductions plus real-time FPS on EuRoC, NTU-VIRAL, Botanic Garden and SubT-MRS.
Superpoint: Self- supervised interest point detection and description
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
MUSE applies Mamba sequential modeling to produce real-time uncertainty estimates for visual-inertial state estimation from asynchronous multimodal sensors.
citing papers explorer
-
DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM
DL-VINS-Factory integrates learned extractors (ALIKED, RaCo, SuperPoint, XFeat) with LK or LightGlue tracking in a shared Ceres VI-SLAM back-end and reports modest ATE reductions plus real-time FPS on EuRoC, NTU-VIRAL, Botanic Garden and SubT-MRS.
-
MUSE: Multimodal Uncertainty Quantification of State Estimation
MUSE applies Mamba sequential modeling to produce real-time uncertainty estimates for visual-inertial state estimation from asynchronous multimodal sensors.