🌊 Adding items to augmented reality pool
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Updated
Mar 18, 2018 - ShaderLab
🌊 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
Plain cmake version for rpg_svo_pro_open (svo2.0). No ros.
Implementation of Simultaneous Localization And Mapping(SLAM) with Visual Odometry.
Autonomous Aerial Robot for Object Picking and Dropping with Versatile Grippper
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.
This project provides a feasible framework for the stereo camera positioning and autonomous flight of the Z410B UAV
Repository for the "Vision Algorithms for Mobile Robotics" (VAMR) lecture at the "Robotics and Perception Group" at UZH (for ETH Zurich).
Initialization procedure for Inertial Navigation System (INS)
Yet another visual inertial estimator.
robust visual-inertial odometry, separated from openxrlab-xrslam
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.
Stereo and Mono VIO, Visual Inertial, ORB-SLAM2
PRCV 2022: The FusionPortable-VSLAM Challenge
Collaborative Navigation Dataset
A bare-metal implementation of visual-inertial odometry on a microcontroller. This project is associated with my master's thesis in Engineering Cybernetics at NTNU.
A toy stereo visual inertial odometry (VIO) system
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