Implementation of Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation. This is my master's thesis.
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Updated
Jun 19, 2018
Implementation of Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation. This is my master's thesis.
VIO_Learning. A simple implement of mono msckf in https://github.com/TurtleZhong/msckf_mono/tree/master/src/msckf_mine_1.0
Secondary posegraph adapted for interfacing with OpenVINS, based on VINS-Mono / VINS-Fusion.
using hloc for loop closure in OpenVINS
Robocentric Visual-Inertial Odometry
A toy stereo visual inertial odometry (VIO) system
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.
Modified version of KumarRobotics/msckf_vio (commit e3a39a9 on Jul 26, 2019), a stereo version of MSCKF.
Interface for OpenVINS with the maplab project
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.
A bunch of state estimation algorithms
A monocular plane-aided visual-inertial odometry
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