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SLAM in Low-Light Environments: Project Report

1 upvotes · 20 JUL 2026 · Oleh Basystyi, Anna Stasyshyn, Oleksandr Kosovan et al.

This paper evaluates how well six SLAM systems perform in low-light environments, finding that only one can track in all cases and that RGB-only SLAM can maintain stable tracking with both inertial fusion and global optimization, but still has limitations that require further improvement. Practitioners working on autonomous robots may care about this research as it helps them understand the challenges of SLAM in low-light conditions and how to address them.

SLAMlow-light environmentsRGB camerasinertial fusionglobal optimizationvisual odometry