An open source platform for visual-inertial navigation research.

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

A generic and robust calibration toolbox for multi-camera systems

graph-theoretic framework for robust pairwise data association

A monocular plane-aided visual-inertial odometry

Vicon-IMU fusion for groundtruth trajectory generation.

Robotics library written in the Julia programming language

Removing dirt from an image with the help of a mask and gimps heal function

sensor calibration tools for camera, lidar, imu based on ROS2

A Python based Graphical Temperature Logger for the Raspberry Pi

Part of my PhD thesis

This repository features a project blending Quantum Computing and Machine Learning to enhance sensor calibration for air quality monitoring. It contrasts classical models like FFNN and LSTM with quantum versions VQR and QLSTM, focusing on improving measurement precision. The repo includes all relevant code, datasets, and findings.