LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Repositories
TurtleZhong repositories
A Multi-sensor Fusion Odometry via Smoothing and Mapping.
this version of viorb is revised based on LearnVIORB by wanjing which does not use ros framwork.
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
LiDAR Iris for Loop-Closure Detection(IROS 2020)
Line3D++ - Multi-View Stereo using Line Segments
MSCKF 中文注释版
Visual Inertial Odometry based on MSCKF
MYNT EYE SDK 2
codes of Machine Learning
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
some useful matrix operations
matrix operation include additon/subtraction/multiplication/inversation/QR factorization/Cholesky factorization/cholupdate and so on
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
ORB_SLAM2_error_analysis
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
some source codes of opencv
Port of Niko Sünderhauf's OpenSeqSLAM