Software & Data Downloads — slam-mer
Mitsubishi Electric Research framework for visual SLAM supports both full map creation and lightweight localization, allowing teams to evaluate new modules without relying on legacy pipelines.
A modern visual SLAM framework aimed at researchers and rapid prototypers. SLAM-MER supports both full map creation and lightweight localization, allowing teams to evaluate new modules without relying on legacy pipelines.
- SLAM-MER is a fresh, modular visual SLAM pipeline built from scratch.
- It combines classical 3D geometry methods (fast, robust, and accurate) with data-driven methods for depth priors and image processing.
-
MERL Contacts
-
Related Research Highlight
-
Related Publications
- , "Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2026.
BibTeX TR2026-056 PDF Video Software- @inproceedings{Piedade2026may,
- author = {Piedade, Valter and Manam, Lalit and Yamazaki, Masashi and Miraldo, Pedro},
- title = {{Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling}},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2026,
- month = may,
- url = {https://www.merl.com/publications/TR2026-056}
- }
- , "Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2026.
Software & Data Downloads
Access software at https://github.com/slam-mer/.