🌊 Adding items to augmented reality pool

Design and development of a visual inertial odometry system with moving target tracking approach for autonomous robots

This application uses homography matrix, extracted from consecutive frames of a monocular camera, and fuses this data with input from an inertial measurement unit (IMU). This fusion is employed to accurately estimate positional changes.

OAK-D + SLAM + AprilTags for localization in FRC

Implementation for EKF for Visual Inertial Odometry

Implement visual inertial odometry from scratch

Autonomous Aerial Robot for Object Picking and Dropping with Versatile Grippper

Implementation of Simultaneous Localization And Mapping(SLAM) with Visual Odometry.

Repository for the "Vision Algorithms for Mobile Robotics" (VAMR) lecture at the "Robotics and Perception Group" at UZH (for ETH Zurich).

This project provides a feasible framework for the stereo camera positioning and autonomous flight of the Z410B UAV

An underwater visual inertial odometry with online refractive index estimation method based on ROVIO to enable reliable state estimation without camera calibration in water.

Initialization procedure for Inertial Navigation System (INS)

Plain cmake version for rpg_svo_pro_open (svo2.0). No ros.

Yet another visual inertial estimator.

Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, this system offers unparalleled real-time performance in state and covariance estimation for robotics and autonomous system applications.

robust visual-inertial odometry, separated from openxrlab-xrslam

Stereo and Mono VIO, Visual Inertial, ORB-SLAM2

PRCV 2022: The FusionPortable-VSLAM Challenge

Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.