nvidia-isaac/cuVSLAM
Some data may be outdated — see provenance labels.
CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking observed · 2026-09-23
Health v2 · maintenance only
78/100
- Activity 95
- Release rhythm 75
- Longevity 47
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 67.0
- age_days: 670
- days_rel: 89
- days_push: 32
- n_releases_24m: 3
Adoption not part of the score
1824 stars · 202 forks observed · 2026-09-23
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
cuVSLAM is NVIDIA's CUDA-accelerated library for real-time visual odometry and simultaneous localization and mapping (SLAM). It supports multiple tracking modes including mono, RGB-D, multicamera, stereo-inertial, and multisensor configurations, with Python, C++, and ROS2 APIs.
Use cases
- real-time visual odometry for robots
- SLAM for autonomous navigation
- stereo camera tracking
- RGB-D camera odometry
- visual-inertial odometry with IMU fusion
- multi-camera tracking rigs
- robotics localization and mapping
When to choose
- you need GPU-accelerated real-time SLAM on NVIDIA hardware
- you want a library that works out of the box without parameter tuning
- you need support for diverse sensor configurations (mono, stereo, RGB-D, IMU)
- you're building robotics applications within the NVIDIA Isaac ecosystem
When to avoid
- you don't have NVIDIA CUDA-capable GPU hardware
- you need CPU-only SLAM solutions
- you require a permissively licensed library (license is custom/NVIDIA)
- you need a fully open-source modifiable implementation
Facets
library · maturity active
computer-vision machine-learning simulation graphics robotics computer-vision autonomous-vehicles gpu-computing cpp python slam visual-odometry cuda mapping vio stereo-vision nvidia-isaac real-time linux gpu ros
2 sources
- readme: https://github.com/nvidia-isaac/cuVSLAM · fetched 2026-09-23 · 108111716d58
- homepage: https://nvidia-isaac.github.io/cuVSLAM/ · fetched 2026-08-29 · 44136fa355b3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nvidia-isaac/cuVSLAM | main | 78 |
For agents
markdown · JSON · MCP: product_card(name="nvidia-isaac/cuVSLAM")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem