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Awesome-SLAM
A curated list of SLAM resources
https://github.com/SilenceOverflow/Awesome-SLAM
Last synced: 2 days ago
JSON representation
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6. Mobile End SLAM
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6.3 Augmented Reality
- Awesome-ARKit
- Awesome-ARCore
- MixedRealityToolkit-Unity
- arcore-android-sdk
- OpenARK
- opencv-markerless-AR-Mobile
- DepthAPISampleForiOS11
- AVDepthCamera
- ios11-depth-map-test
- ARCore Depth Lab
- AR-Depth - Aware Augmented Reality
- AR-Depth-cpp - aware Augmented Reality (SIGGRAPH-Asia 2018)
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6.4 Others
- GPUImage - based image and video processing
- Microsoft Computer Vision API
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6.1 Visual SLAM
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6.2 Visual Inertial SLAM
- VINS-Mobile - Inertial State Estimator on Mobile Phones
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8. Tutorials
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6.4 Others
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8.1 3D Vision
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8.3 Lie Algebra and Lie Groups
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8.4 Optimization Techniques
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8.2 Robotics
- RoboticSystemsBook
- MATLABRobotics
- Kindr
- Sensor Fusion in ROS - depth step-by-step tutorial for implementing sensor fusion with robot_localization
- fuse
- GPU Computing in Robotics
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9. Selected Blogs
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11. Community
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8.6 RANSAC
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Stay Tuned for Constant Updates
- Youjie Xia - friendly tutorials.
- **Awesome-SLAM-Papers**
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1. Hot SLAM Repos on GitHub
- SLAM: learning SLAM,curse,paper and others
- VIO-Resources
- awesome-slam: A curated list of awesome SLAM tutorials, projects and communities.
- A list of current SLAM (Simultaneous Localization and Mapping) / VO (Visual Odometry) algorithms
- awesome-visual-slam: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
- awesome-SLAM-list
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2. Visual SLAM
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2.1 Framework
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2.2 Monocular
- ORB_SLAM: A Versatile and Accurate Monocular SLAM
- LSD-SLAM: Large-Scale Direct Monocular SLAM
- DSO: Direct Sparse Odometry
- LDSO: Direct Sparse Odometry with Loop Closure
- SVO: Semi-direct Visual Odometry
- PTAM: Parallel Tracking and Mapping
- LPVO: Line and Plane based Visual Odometry
- LCSD_SLAM: Loosely-Coupled Semi-Direct Monocular SLAM
- CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams
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2.3 Stereo
- ORB_SLAM2
- ORBSLAM2_with_pointcloud_map
- PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments
- StVO-PL: Stereo Visual Odometry by combining point and line segment features
- PL-SVO
- stereo-dso: Direct Sparse Odometry with Stereo Cameras
- S-PTAM: Stereo Parallel Tracking and Mapping
- Robust Stereo Visual Odometry
- OV²SLAM: A Fully Online and Versatile Visual SLAM for Real-Time Applications
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2.4 RGBD
- Dense Visual Odometry and SLAM
- DVO
- PlanarSLAM
- badslam - D SLAM
- RESLAM - time robust edge-based SLAM system
- VDO-SLAM - aware SLAM System
- REVO - based Visual Odometry
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2.5 Others
- CubeSLAM
- se2lam - Odometric On-SE(2) Localization and Mapping
- se2clam - Constrained Localization and Mapping by Fusing Odometry and Vision
- BreezySLAM - source package for Simultaneous Localization and Mapping in Python, Matlab, Java, and C++
- MultiCol-SLAM - fisheye camera SLAM
- Event-based Stereo Visual Odometry
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3. Visual Inertial SLAM
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3.1 Framework
- maplab - inertial mapping framework.
- ORB-SLAM3 - Source Library for Visual, Visual-Inertial and Multi-Map SLAM
- VINS-Fusion - based multi-sensor state estimator
- Kimera - source library for real-time metric-semantic localization and mapping
- OpenVINS - inertial navigation research
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3.2 Monocular
- OKVIS - based Visual-Inertial SLAM (ROS Version)
- ROVIO
- R-VIO - Inertial Odometry
- LARVIO - State Constraint Kalman Filter
- msckf_mono
- (ROS Version) - ROS Version)](https://github.com/OpenSLAM/LearnViORB_NOROS/tree/master/master/LearnVIORB_NOROS)
- PVIO - Inertial Odometry with Multi-plane Priors
- PL-VIO
- PL-VINS - Time Monocular Visual-Inertial SLAM with Point and Line Features
- Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments
- REBiVO
- Co-VINS - Inertial Systems
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3.3 Stereo
- msckf_vio
- OKVIS - based Visual-Inertial SLAM
- Basalt - Inertial Mapping with Non-Linear Factor Recovery
- ICE-BA - Inertial SLAM
- ORBSLAM_DWO
- VI-Stereo-DSO
- Semi-Dense Direct Visual Inertial Odometry
- LearnVIORBnorosgai2 - SLAM2 (Non-ROS Version)
- ygz-stereo-inertial - inertial visual odometry
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3.5 Others
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4. LIDAR based SLAM
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4.1 Framework
- Cartographer
- LOAM-Livox - LiDAR
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4.2 Others
- FAST-LIO
- LOL - only Odometry and Localization in 3D point cloud maps
- PyICP SLAM - python LiDAR SLAM using ICP and Scan Context
- LIO-SAM - coupled Lidar Inertial Odometry via Smoothing and Mapping
- LeGO-LOAM - Optimized Lidar Odometry and Mapping on Variable Terrain
- MULLS - metric Linear Least Square
- hdl_graph_slam - based Graph SLAM
- A-LOAM
- LIO-mapping: A Tightly Coupled 3D Lidar and Inertial Odometry and Mapping Approach
- SC-LeGO-LOAM - LOAM
- Fast LOAM
- SuMa - based Mapping using 3D Laser Range Data
- LINS - inertial-SLAM
- ISCLOAM
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5. Learning based SLAM
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5.1 Survey
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5.2 Others
- TLIO
- Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
- SuperPoint + ORB_SLAM2
- VINet - Inertial Odometry as a Sequence-to-Sequence Learning Problem
- DeepSFM
- Unsupervised Monocular Visual-inertial Odometry Network
- Semantic SLAM
- CNN-DSO
- CNN-SVO
- KFNet
- Unsupervised Depth Completion from Visual Inertial Odometry
- The Perfect Match
- Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
- M^3SNet - metric Multi-view Stereo Network
- Deep EKF VIO
- Active Neural SLAM
- DeepFactors
- OverlapNet - based SLAM
- SO-Net - Organizing Network for Point Cloud Analysis
- Geometry-Aware Learning of Maps for Camera Localization
- DeepV2D
- PVN3D - wise 3D Keypoints Voting Network for 6DoF Pose Estimation
- DeepMVS - View Stereopsis
- Epipolar Transformers
- DF-VO
- DeepTAM
- Epipolar Transformers
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5.3 Deep Features
- GCNv2 SLAM - time SLAM system with deep features
- FCGF
- Deep Image Retrieval
- Key.Net
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5.4 Semantic SLAM
- SuMa++ - based Semantic SLAM
- DS-SLAM
- Probabilistic Data Association via Mixture Models for Robust Semantic SLAM
- SIVO
- orbslam_semantic_nav_ros, RGBD
- Pop-up SLAM - texture Environments
- Semantic SLAM using ROS, ORB SLAM, PSPNet101
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7. Datasets
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6.4 Others
- Awesome SLAM Datasets
- Awesome Robotics Datasets
- TUM - Monocular Visual Odometry Dataset - vision/mono_dataset_code)]
- ADVIO - Inertial Odometry
- Awesome Robotics Datasets
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Programming Languages
Categories
Sub Categories
5.2 Others
27
4.2 Others
14
6.4 Others
12
6.3 Augmented Reality
12
3.2 Monocular
12
2.2 Monocular
9
3.3 Stereo
9
2.3 Stereo
9
8.1 3D Vision
8
5.4 Semantic SLAM
7
2.4 RGBD
7
8.2 Robotics
6
2.5 Others
6
3.1 Framework
5
8.6 RANSAC
5
6.1 Visual SLAM
4
8.4 Optimization Techniques
4
2.1 Framework
4
5.3 Deep Features
4
8.3 Lie Algebra and Lie Groups
3
5.1 Survey
2
4.1 Framework
2
3.5 Others
1
6.2 Visual Inertial SLAM
1
Keywords
slam
28
robotics
12
localization
10
deep-learning
9
computer-vision
8
depth-estimation
6
visual-inertial-odometry
6
ros
6
vio
5
visual-odometry
5
mapping
5
3d-reconstruction
5
visual-slam
5
lidar
5
loam
5
sensor-fusion
4
msckf
3
point-cloud
3
odometry
3
opencv
3
state-estimation
3
3d-vision
3
velodyne
3
autonomous-driving
3
3d
3
augmented-reality
3
orb-slam2
2
iros
2
sensor-calibration
2
cvpr
2
ekf-localization
2
kalman-filtering
2
pytorch
2
vins
2
tensorflow
2
3d-lidar
2
depth
2
navigation
2
icp
2
ucla
2
pose-estimation
2
aloam
2
dataset
2
lidar-odometry
2
bundle-adjustment
2
vislam
2
g2o
2
mobile
2
arcore
2
graph-optimization
2