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Software

stella_vslam

By stella-cv, from github.com/stella-cv/stella_vslam (opens in a new tab)

  • Navigation and mapping
  • Library
  • BSD-2-Clause

A community-maintained visual SLAM framework that runs monocular, stereo and RGBD setups, forked from OpenVSLAM to continue its development. It builds maps and localizes new images against them.

Facts

GitHub stars
1,265read on 6 Nov 2026
Last update
26 Aug 2026Newest commit on main
Maintenance
Activea commit in the last 90 days
Difficulty
Advanced

Checked on GitHub on 6 Nov 2026.

Licenses

Code
BSD-2-Clause (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab), LICENSE.fork (opens in a new tab) (BSD-2-Clause) and LICENSE.original (opens in a new tab) (BSD-2-Clause) at commit e445b54 (opens in a new tab), on 16 Oct 2026. A license text Robotheca's reader does not know: a person at Robotheca set it on 9 Nov 2026.

Commercial use
Yes

Overview

What it does: Robotheca's summary

  • Works with several camera models, including perspective, fisheye and equirectangular, and custom models can be added.
  • Created maps can be stored, loaded, and used to localize new images against a prebuilt map.
  • The system is modular, with its functions split into separate components that expose simple APIs.
  • Code snippets in the example directory show the core functionality, with documentation covering installation and tutorials.
  • Development focuses on refactoring, performance tuning, tests, marker integration, Python bindings and IMU integration.
  • A ROS wrapper is maintained in a separate repository.

Written by Robotheca from the project's README (opens in a new tab) at commit e445b54, not by its creator.

The README

Read the README on GitHub (opens in a new tab)

Files and versions

Facts read at commit e445b54

Robotheca never hosts the code: each link goes to the creator's own page.

Use it

How to install it, in the creator's words: The project's website (opens in a new tab)

Robotheca doesn't review code. Read it before running it.

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.