Data checked 2026-08-13. Data may be stale - beyond the review cycle.
Review cycles are documented on the Methodology page. Methodology
MIT-SPARK/Kimera-VIO
Algorithm Tier A slam_vio BSD-2-Clause
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Engineering Snapshot
Use cases & tasks 6
- Best suited for
-
- robotics engineers
- developers needing CPU-based real-time VIO
- SLAM/mapping researchers
- Primary tasks
-
- visual-inertial odometry for localization
- SLAM with 3D mesh generation
- real-time state estimation
Stack & ecosystem
- Resource type
- Algorithm
- Ecosystem
- cpu · euroc-dataset · localization · mapping · real-time · reconstruction
License & compliance
- License
-
BSD-2-Clause(Inferred)
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
Provide real-time visual-inertial odometry, SLAM, and 3D mesh reconstruction for robotic state estimation.
Primary use cases
- visual-inertial odometry for localization
- SLAM with 3D mesh generation
- real-time state estimation
Secondary use cases
- 3D reconstruction
- mapping
- evaluation with EuroC dataset (per topics)
When to Use
Consider when
- need real-time VIO on CPU
- require 3D mesh output alongside odometry
- building robotic perception pipelines
Verify before adopting
- license is inferred BSD-2-Clause; confirm LICENSE file
- no hardware targets specified
- no tagged latest release version
Start Here
Adoption Checklist
- Needs verification license is inferred BSD-2-Clause; confirm LICENSE file
- Needs verification no hardware targets specified
- Needs verification no tagged latest release version
Each check stays "needs verification" until an official source confirms it; unconfirmed items are never marked verified.
Known Limitations & Unknowns
Known limitations
- license status inferred
- no declared hardware targets
- no latest release info
Not publicly verified
- benchmark performance
- supported sensor models
- integration examples with UAV stacks
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/MIT-SPARK/Kimera-VIO
- Repository https://github.com/MIT-SPARK/Kimera-VIO
- Documentation https://github.com/MIT-SPARK/Kimera-VIO
Technical checklist
- OK License identified Recorded: BSD-2-Clause
- 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 | BSD-2-Clause — Inferred |
|---|---|
| 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: MIT-SPARK/Kimera-VIO
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.