Data checked 2026-08-13. Data may be stale - beyond the review cycle.
Review cycles are documented on the Methodology page. Methodology
raulmur/ORB_SLAM2
Algorithm Tier A slam_vio
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Engineering Snapshot
Use cases & tasks 6
- Best suited for
-
- Engineers building UAV/robotic perception stacks using visual cameras
- Systems requiring real-time pose estimation with loop closure
- Primary tasks
-
- Real-time SLAM with monocular cameras
- Real-time SLAM with stereo cameras
- Real-time SLAM with RGB-D cameras
- Loop detection and relocalization for localization
Stack & ecosystem
- Resource type
- Algorithm
- Ecosystem
- slam_vio
License & compliance
- License
- Unknown
Lifecycle & freshness Show
- Maintenance
- Active
- Latest version
- Not recorded
- Last activity
- 2026-08-13
- Last checked
- 2026-08-13
- Verification
- Official confirmed
What It Solves
Provides real-time simultaneous localization and mapping (SLAM) for monocular, stereo, and RGB-D camera inputs, including loop detection and relocalization.
Primary use cases
- Real-time SLAM with monocular cameras
- Real-time SLAM with stereo cameras
- Real-time SLAM with RGB-D cameras
- Loop detection and relocalization for localization
Secondary use cases
- Visual odometry for navigation
- 3D mapping from camera feeds
When to Use
Consider when
- Need real-time localization from standard cameras
- Trajectory involves loops requiring closure
- Relocalization after tracking loss is needed
Verify before adopting
- License status unknown (license_spdx null) - confirm before use
- No hardware targets specified - validate on target platform
- No tagged release version - assess repo stability
Start Here
Adoption Checklist
- Needs verification License status unknown (license_spdx null) - confirm before use
- Needs verification No hardware targets specified - validate on target platform
- Needs verification No tagged release version - assess repo stability
Each check stays "needs verification" until an official source confirms it; unconfirmed items are never marked verified.
Known Limitations & Unknowns
Known limitations
- License unknown
- No explicit hardware targets listed
- No latest release version provided
Not publicly verified
- Supported operating systems
- Specific camera model compatibility
- Benchmark performance metrics
Alternatives & Related Tools
Alternatives
How is it used?
Start from the recorded entry points below, then validate against the technical checklist.
- Official site https://github.com/raulmur/ORB_SLAM2
- Repository https://github.com/raulmur/ORB_SLAM2
- Documentation https://github.com/raulmur/ORB_SLAM2
Technical checklist
- NEEDS REVIEW License identified No license field in any source response
- OK Maintenance signal Active
- OK Verification status Official confirmed
- OK Source evidence attached 1 source record(s)
- NEEDS REVIEW Latest version recorded Not recorded
Official Links
Metadata & Governance
| License | License: Unknown — No license field in any source response. |
|---|---|
| Commercial model | Unknown |
| Maintenance status | Active |
| Verification status | Official confirmed — Confirmed via the official repository API responses in SourceRefs below. |
| Latest version | Not recorded |
| Latest release | Not recorded |
| Last activity | 2026-08-13 |
| Last checked | 2026-08-13 |
| First seen | Not recorded |
Dataset facts
Facts above come from the official dataset card only; unconfirmed fields stay unknown.
Related Resources & Dependencies
Recent Activity
New resource: raulmur/ORB_SLAM2
New repository resource added by the sprint promote pipeline.
Related Knowledge
Guides
- Evaluating SLAM / VIO Systems for UAV Use — A repeatable checklist for comparing open-source SLAM and visual-inertial odometry systems before integrating them into a UAV stack.
Collections
- SLAM / VIO Stack Evaluation — Open-source localization and mapping systems for UAV navigation, inspection and mapping missions.