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awesome-rgbd-slam

RGB-D SLAM open sources，good papers，famous research institutions

camvox

[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.相机与雷达的在线标定

direct_visual_lidar_calibration

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

dso

Direct Sparse Odometry

dufomap

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

dynamicfusion

An implementation of the CVPR best paper Dynamic Fusion

ego-planner

elasticfusion

Real-time dense visual SLAM system

elasticreconstruction

3D reconstruction system to creating detailed scene geometry from range video.

fast-drone-250

hardware and software design of the 250mm autonomous drone

fast-livo

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

fast_lio_gps

fast_lio_mid360

ginav

GNSS and GNSS/INS integration algorithms 组合导航算法

gpstk

GPSTk toolkit has been renamed to GNSSTK and has been split into two new separate repositories.

grid_map_-

Universal grid map library for mobile robotic mapping

gvins

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

immesh

ImMesh: An Immediate LiDAR Localization and Meshing Framework

infinitam_rgbd-

A Framework for the Volumetric Integration of Depth Images

jetsongpio

A C++ library that enables the use of Jetson's GPIOs

kalibr

The Kalibr visual-inertial calibration toolbox

libmodbus

A Modbus library for Linux, Mac OS, FreeBSD and Windows

lidar_align

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

lidar_imu_calib

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

limap

A toolbox for mapping and localization with line features.line SFM

lio-sam

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

lsd_slam

LSD-SLAM

map-based-visual-localization

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.

mav_trajectory_generation

Polynomial trajectory generation and optimization, especially for rotary-wing MAVs.

mono_dataset_code

Code for Monocular Visual Odometry Dataset - https://vision.cs.tum.edu/data/datasets/mono-dataset