uzh-rpg/rpg_svo
Semi-direct Visual Odometry observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4557
- days_rel: n/a
- days_push: 2568
- n_releases_24m: 0
Adoption not part of the score
2229 stars · 870 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
SVO is a semi-direct monocular visual odometry pipeline written in C++ that estimates camera motion from image sequences. It is research code from the University of Zurich Robotics and Perception Group, released under GPLv3 with a commercial edition available.
Use cases
- estimate camera trajectory from monocular video
- visual odometry for drone navigation
- track camera pose in real time on a robot
- benchmark SLAM/odometry algorithms
- build state estimation for micro aerial vehicles
When to choose
- you need fast, lightweight monocular visual odometry on Linux with ROS
- you are doing robotics research on state estimation and want a citable baseline
- you work with micro aerial vehicles and limited compute
When to avoid
- you need actively maintained software - the last release was 2019 and it targets old ROS/Ubuntu versions
- you need stereo, RGB-D, or full SLAM with loop closure
- you need a permissively licensed library for a commercial product without contacting the authors
Facets
library · maturity maintenance
computer-vision robotics image-processing robotics computer-vision autonomous-vehicles cpp visual-odometry slam monocular-camera semi-direct ros research-code linux
1 source
- readme: https://github.com/uzh-rpg/rpg_svo · fetched 2026-08-28 · 215524a2e76f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| uzh-rpg/rpg_svo | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem