RetiGlue-SLAM: A Robust Visual SLAM System Designed for Low-Light and Complex Environments
Visual simultaneous localization and mapping (SLAM) often degrades in low-light environments because of insufficient brightness, reduced contrast, and loss of texture, which cause sparse features, accumulated mismatches, and unstable trajectories. This paper presents RetiGlue-SLAM, a visual-inertial SLAM framework that...