LARVIO
A lightweight, accurate, and robust monocular visual-inertial odometry system based on a hybrid Multi-State Constraint Kalman Filter.
What is LARVIO?
LARVIO is a monocular Visual-Inertial Odometry system that estimates camera pose and motion by fusing data from a single camera and an IMU. It solves the problem of accurate, real-time localization in environments where GPS is unavailable or unreliable, using a hybrid Extended Kalman Filter architecture for efficiency and robustness.
Robotics researchers, drone developers, and engineers working on autonomous systems or augmented reality applications that require real-time, accurate visual-inertial state estimation.
Developers choose LARVIO for its lightweight design, configurable hybrid EKF approach, and robust feature tracking, which together provide accurate positioning with lower computational overhead compared to some alternatives, making it suitable for embedded platforms like Jetson devices.
Overview
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
Use Cases
Best For
- Real-time visual-inertial odometry on embedded systems like Jetson Nano or TX2
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