234 Open source projects that are alternatives of or similar to G2o

A fast and robust point cloud registration library

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

X Inertial-aided Visual Odometry

⚡️ The Mobile Robot Programming Toolkit (MRPT)

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

Open-source Autonomy Software in Rust-lang with gRPC for the Roomba series robot vacuum cleaners. Under development.

A small C++11 header-only library for Lie theory.

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

CubeSLAM: Monocular 3D Object Detection and SLAM

RTAB-Map library and standalone application

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

ArUco-based EKF-SLAM.

Open source software for autonomous drones.

Indoor Navigation with ARCore (From: 2018)

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

A driving dataset for the development and validation of fused pose estimators and mapping algorithms

The ROS Package of Mask R-CNN for Object Detection and Segmentation

image registration related books, papers, videos, and toolboxes

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

Python binding of SLAM graph optimization framework g2o

RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel

Surfel-based Mapping for 3d Laser Range Data (SuMa)

SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

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

(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping

Learn 视觉slam十四讲

OpenVSLAM: A Versatile Visual SLAM Framework

3D LIDAR-based Graph SLAM

Python implementation of SLAM algorithm Stereo-PTAM

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

Source Live Audio Mixer

Advanced implementation of LOAM

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

Real-time dense visual SLAM system

BUILDING AN AUTOMATIC VEHICLE BASED ON STEREO CAMERA

The implementation of HDP SLAM

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

Monocular/Stereo Visual-Inertial ORB-SLAM based on ORB-SLAM2

VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.

Index repo for Kimera code

This robot lcoalisation package for lidar-map based localisation using multi-sensor state estimation.

Lightweighted graph optimization (Factor graph) library.

Basic algorithms for vslam.

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

Player/Stage SLAM

RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments

视觉(语义) SLAM 相关研究跟踪

Real-time large scale dense visual SLAM system

Inside Out Positional Tracking (6DoF) for GearVR/Cardboard/Daydream using ARCore v1.6.0

SSL_SLAM: Lightweight 3-D Localization and Mapping for Solid-State LiDAR IEEE RA-L 2021

An open visual-inertial mapping framework.

This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL，which can work well on both outdoor and indoor environments