mola_sm_loop_closure
- Software
- Navigation and mapping
- Tool
An offline loop-closure engine that corrects keyframe poses in MOLA simplemap files by detecting loops and re-optimising the map, then writes the result back to disk.
Made by The MOLA SLAM framework, Spain (checked on github.com/MOLAorg (opens in a new tab)).
Source on GitHub: github.com/MOLAorg/mola_sm_loop_closure (opens in a new tab). Facts read at commit 34f9b65 (opens in a new tab).
Licenses
- Code
- GPL-3.0-only (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (GPL-3.0-only) at commit 34f9b65 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
Copyleft: Modified source must be published.
What it does
- Offers two algorithms: SimplemapLoopClosure for long maps with drift, grouping keyframes into submaps and running point-cloud ICP between them.
- FrameToFrameLoopClosure runs frame-to-frame ICP with a GNC graph optimizer, suited to GNSS-augmented datasets or quick re-optimisation.
- Ships YAML pipelines for 3-D LiDAR (GICP and ICP), 2-D LiDAR and frame-to-frame 3-D LiDAR GICP.
- Optional planar-world constraints, GNSS factors with uncertainty thresholds, and IMU gravity-alignment factors can be enabled in the YAML.
- Manual loop constraints can be specified by UNIX timestamp pairs, optionally trusted as inliers.
- Optional KISS-Matcher global registration can seed the ICP initial guess for loop candidates.
Written by Robotheca from the project's README (opens in a new tab) at commit 34f9b65.
Getting started
- Difficulty
- Advanced
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 15 Oct 2026 on develop
- Latest release
- mola_sm_loop_closure 1.3.0 (1 Oct 2026)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.