HKUST-Aerial-Robotics/VINS-Mobile

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1363 stars · 530 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

VINS-Mobile is a real-time monocular visual-inertial state estimator that runs on iOS devices, providing high-accuracy visual-inertial odometry via sliding window optimization with loop closure and failure recovery. It supplies localization for augmented reality applications and state estimation for autonomous drone control.

Use cases

• estimate camera pose on an iPhone for AR applications
• run visual-inertial odometry on a mobile phone in real time
• provide localization for autonomous drone flight control
• perform monocular SLAM with loop closure on mobile hardware
• build AR demos that need 30 Hz pose tracking
• research visual-inertial state estimation algorithms

When to choose

• you need on-device VIO on iOS without cloud services
• you want a research-grade estimator with automatic initialization and failure recovery
• you need pose graph SLAM loop closure to correct odometry drift in real time
• you are working with drones or AR and have C++/Xcode expertise

When to avoid

• you need a maintained project with recent updates (last release 2019)
• you target Android or Linux rather than iOS/macOS
• you want a plug-and-play AR SDK rather than a research codebase
• your project cannot accept GPL-3.0 licensing

Facets

library · maturity maintenance

computer-vision simulation graphics robotics autonomous-vehicles computer-vision mobile-development cpp visual-inertial-odometry slam state-estimation augmented-reality drones vio ios macos

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markdown · JSON · MCP: product_card(name="HKUST-Aerial-Robotics/VINS-Mobile")