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Unifying Visual SLAM

A curated list of resources to help unify and standardize the landscape of Visual SLAM, Structure-from-Motion, datasets, tools, and educational content. This page collects links to key projects, foundational papers, tools, and talks.

This collection was created as an outcome of the RSS 2025 Workshop Unifying Visual SLAM. Organizers: Alejandro Fontan, Lukas Schmid, Olga Vysotska, Mubariz Zaffar, Linfei Pan, Gokul B. Nair, Johan Barthelemy, Javier Civera and Michael Milford

πŸ‘‹ Contributions are welcome!! Feel free to open an issue or submit a pull request to suggest more tools, papers, or resources.


πŸ“Œ Contents


Visual SLAM
Link Description
MASt3R-SLAM Real-Time Dense SLAM with 3D Reconstruction Priors
MonoGS Gaussian Splatting SLAM
DPVO Deep Patch Visual Odometry/SLAM
DROID-SLAM Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
ORB-SLAM2 SLAM for Monocular, Stereo, and RGB-D Cameras
DSO Direct Sparse Odometry
Benchmarks / Libraries
Link Description
VSLAM-LAB A Comprehensive Framework for Visual SLAM Baselines and Datasets
VPR-methods VPR Methods Evaluation
PySLAM Python SLAM pipeline for monocular, stereo and RGB-D
slamplay C++ SLAM experimentation tools
Foundational Datasets
Link Description
ETH3D ETH3D SLAM & Stereo Benchmarks
RGB-D TUM RGB-D SLAM Dataset and Benchmark
Foundational Papers
Link Description
PTAM Parallel Tracking and Mapping for Small AR Workspace
MonoSLAM Real-Time Single Camera SLAM
Educational Resources
Link Description
SLAM Handbook SLAM Handbook
SLAM Course by Cyrill Stachniss SLAM-Course (2013/14)
SLAM - 5 Minutes with Cyrill Short SLAM Tutorials
Datasets
Link Description
CroCoDL AR localization benchmark from legged robots
M2DGR A Multi-modal and Multi-scenario SLAM Dataset for Ground Robots
Fusionportable A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms
FusionPortable V2 From Campus to Highway: A Unified Multi-Sensor Dataset for Generalized SLAM Across Diverse Platforms and Scalable Environments
MCD Diverse Large-Scale Multi-Campus Dataset for Robot Perception
BotanicGarden A high-quality dataset for robot navigation in unstructured natural environments
Oxford Spires Captured around well-known landmarks in Oxford using a custom-built multi-sensor perception unit as well as a millimetre-accurate map from a terrestrial LiDAR scanner.
Structure-from-Motion (SfM)
Link Description
GLOMAP Global Structure-from-Motion Revisited
COLMAP General-purpose SfM and MVS pipeline
Talks
Link Description
Daniel Cremers - Deep and Direct SLAM Tartan SLAM Series
Andrew Davison - From SLAM to Spatial AI Robotics Today
Graph-based Spatial AI Andrew Davison, Tartan SLAM Series
Other Tools
Link Description
Pixi Developer package management tool
Spectacular AI SDK for real-time 3D mapping and 6-DoF tracking
More Resources
Link Description
Awesome SLAM Datasets A curated list of SLAM datasets
Awesome-Transformer-based-SLAM A curated list of SLAM related task employing Transformer

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A curated list of development tools, datasets, pipelines, and benchmarks to serve as a future reference for the research community

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