# ethz-asl/rovio

Repository: https://github.com/ethz-asl/rovio
Canonical: https://ross.abutalabs.com/products/rovio
Language: C++
License: NOASSERTION
License Family: other
Last push: 2026-01-19T08:57:56+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 63, release rhythm 35, longevity 100
- inputs: {"age_days": 4045, "days_push": 226, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1262, forks 520 (observed 2026-08-28T04:04:10.289072+00:00)

## What it is
ROVIO (Robust Visual Inertial Odometry) is a C++ framework from ETH Zurich that estimates camera and IMU trajectory using an iterated extended Kalman filter with patch-based feature tracking. It is built as a ROS package and is tightly coupled to ongoing research.

## Use cases
- estimate camera trajectory from camera and IMU data
- visual inertial odometry for drones
- run odometry on Euroc MAV datasets
- track pose of a robot in real time
- online IMU-camera extrinsic calibration

## When to choose
- you need robust, real-time visual-inertial odometry in a ROS pipeline
- you work with camera+IMU setups such as drones or MAVs
- you want a research-proven odometry framework with published papers

## When to avoid
- you need a fully mature, stable production SLAM system
- you are not using ROS or C++
- you need full SLAM with loop closure and mapping rather than odometry

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, robotics, simulation
- domain: robotics, computer-vision, autonomous-vehicles
- platform: cpp
- tags: visual-inertial-odometry, slam, state-estimation, kalman-filter, ros, eth-zurich, linux

## Member repositories
- ethz-asl/rovio (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:10.289072+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:04:13.968342+00:00, confidence not recorded.
  - readme: https://github.com/ethz-asl/rovio (fetched 2026-08-28T04:04:10.289072+00:00, sha e7b7e8718a5f)
- Data as of 2026-08-30T08:39:29.467469+00:00.