🌊 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
Implementation of Simultaneous Localization And Mapping(SLAM) with Visual Odometry.
Implementation for EKF for Visual Inertial Odometry
[ICGNC 2024] Fusing Multiple Maps into Error-Bounded Segmented VIO
Initialization procedure for Inertial Navigation System (INS)
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.
Stereo and Mono VIO, Visual Inertial, ORB-SLAM2
OAK-D + SLAM + AprilTags for localization in FRC
Repository for the "Vision Algorithms for Mobile Robotics" (VAMR) lecture at the "Robotics and Perception Group" at UZH (for ETH Zurich).
Yet another visual inertial estimator.
robust visual-inertial odometry, separated from openxrlab-xrslam
Plain cmake version for rpg_svo_pro_open (svo2.0). No ros.
A toy stereo visual inertial odometry (VIO) system
Autonomous Aerial Robot for Object Picking and Dropping with Versatile Grippper
This project provides a feasible framework for the stereo camera positioning and autonomous flight of the Z410B UAV
Collaborative Navigation Dataset
Modified version of okvis-1.1.3, include okvis ros wrapper and the core code
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.
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