Torchmm's repositories
manif
A small C++11 header-only library for Lie theory.
FF-LINS
A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator
imgui
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
polynomial
Templated C++ polynomial library
LidarMappingEX
exercise lidar slam something~~
HybVIO
HybVIO visual-inertial odometry and SLAM system
eqvio
EqVIO: An Equivariant Filter for Visual Inertial Odometry
viso2
A ROS wrapper for libviso2, a library for visual odometry
r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
CamVox
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
mlcc
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
spline_vio
Continuous-Time Spline Visual-Inertial Odometry
MC-Calib
A generic and robust calibration toolbox for multi-camera systems
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
ikd-Tree
This repository provides implementation of an incremental k-d tree for robotic applications.
r2live
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
tloam
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
IKFoM
A computationally efficient and convenient toolkit of iterated Kalman filter.
NaveGo
NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
LVI-SAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
ORB_SLAM3_detailed_comments
Detailed comments for ORB-SLAM3
iscloam
Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020
okvis
OKVIS: Open Keyframe-based Visual-Inertial SLAM.
ground_based_autonomy_slimmed
Ground-based Collision Avoidance
R-VIO
Robocentric Visual-Inertial Odometry
demo_lidar
demo_lidar from J.Zhang