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An open source platform for visual-inertial navigation research.
Index repo for Kimera code
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Roadmap to become a Visual-SLAM developer in 2023
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
Robocentric Visual-Inertial Odometry
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
HybVIO visual-inertial odometry and SLAM system
VIO_Learning. A simple implement of mono msckf in https://github.com/TurtleZhong/msckf_mono/tree/master/src/msckf_mine_1.0
Square-Root Robocentric Visual-Inertial Odometry with Online Spatiotemporal Calibration
Closed-form Preintegration for Graph-based Visual-Inertial Navigation
An Authentic Dataset for Visual-Inertial Odometry
A monocular plane-aided visual-inertial odometry
FLVIS: Feedback Loop Based Visual Inertial SLAM
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.
Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.
Sparsify and Densify Visual Inertial Odometry
A project of Visual Inertial Odometry for Autonomous Vehicle