# Aceinna/gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator.  Motion trajectory generator, sensor models, and navigation

Repository: https://github.com/Aceinna/gnss-ins-sim
Canonical: https://ross.abutalabs.com/products/gnss-ins-sim
Language: Python
License: MIT
License Family: permissive
Topics: inertial-navigation-systems, gnss, gps, imu, integrated-navigation
Last push: 2024-11-27T07:06:45+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3166, "days_push": 644, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1485, forks 376 (observed 2026-08-28T04:04:51.426908+00:00)

## What it is
A Python library for simulating GNSS/INS integrated navigation systems. It generates reference trajectories and synthetic IMU, GPS, odometer, and magnetometer sensor data, runs user-supplied navigation algorithms, and plots and summarizes results.

## Use cases
- simulate IMU and GPS sensor data for navigation algorithms
- generate motion trajectories for inertial navigation testing
- test and compare sensor fusion algorithms
- compute Allan deviation of gyroscope and accelerometer data
- benchmark strapdown INS integration algorithms
- generate synthetic sensor data from logged files

## When to choose
- you need synthetic IMU/GNSS data with realistic error models to develop or validate navigation algorithms
- you want to compare multiple navigation or tilt/fusion algorithms on identical simulated data
- you need Allan variance analysis of inertial sensor data

## When to avoid
- you need real-time navigation on actual hardware rather than offline simulation
- you need a full production GNSS receiver or signal-level RF simulation
- you work outside Python and cannot use NumPy/Matplotlib-based tooling

## Facets
- artifact type: library
- maturity: active
- function: simulation, data-generation, machine-learning, math
- domain: simulation, robotics, developer-tools
- platform: python, cross-platform
- tags: gnss, imu, sensor-fusion, inertial-navigation, gps, trajectory-generation, strapdown-ins, allan-variance, magnetometer, odometer, algorithms

## Member repositories
- Aceinna/gnss-ins-sim (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:51.426908+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 2026-08-30T04:33:53.902142+00:00, confidence not recorded.
  - readme: https://github.com/Aceinna/gnss-ins-sim (fetched 2026-08-28T04:04:51.426908+00:00, sha ef4bcbd892a2)
- Data as of 2026-08-30T08:39:29.467469+00:00.