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lins---lidar-inertial-slam

A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter

lio-livox

A Robust LiDAR-Inertial Odometry for Livox LiDAR

liosam

livox-localization

A simple localization framework that can re-localize in one point-cloud map.

livox-mapping

An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR

lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

m-loam

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

map_registration

maplab

An open visual-inertial mapping framework.

mapshow

mcptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

motionplanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

msckf_mono

Monocular MSCKF ROS Node

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

mulls

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

multicol-slam

This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

papernotes

Take some notes about readed papers, only for personal study. Update continuously.

pathplanning

Common used path planning algorithms with animations.

pl-slam

PL-SLAM: The method is implemented in《PL-SLAM:Real-time Monocular Visual SLAM with Points and Lines》

pl-vins

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

portable-file-dialogs

💬 Portable GUI dialogs library, C++11, single-header

pythonrobotics

Python sample codes for robotics algorithms.

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.

range-mcl

Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

recent_slam_research

跟踪SLAM前沿动态【周更】

rovio

rpg_svo

Semi-direct Visual Odometry

rpg_svo_pro_open