UrbannavdatasetUrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
Mrpt⚡️ The Mobile Robot Programming Toolkit (MRPT)
Lego LoamLeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Loam velodyneLaser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
CodeslamImplementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
VismaVisual-Inertial-Semantic-MApping Dataset and tools
Mask rcnn rosThe ROS Package of Mask R-CNN for Object Detection and Segmentation
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Rp VioRP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)
DefslamDefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel
Lio SamLIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A LoamAdvanced implementation of LOAM
Kitti groundtruthGround Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition
HdpslamThe implementation of HDP SLAM
Gradslamgradslam is an open source differentiable dense SLAM library for PyTorch
KimeraIndex repo for Kimera code
Open vinsAn open source platform for visual-inertial navigation research.
Gms Feature MatcherGMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
Kimera VioVisual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
KintinuousReal-time large scale dense visual SLAM system
Mvision机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
CartographerCartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
XivoX Inertial-aided Visual Odometry
Lio MappingImplementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
Slam Book这是一本关于SLAM的书稿,希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到400页左右,书稿每章对应的代码也会被整理出来。
ManifA small C++11 header-only library for Lie theory.
SlambookNo description or website provided.
Cube slamCubeSLAM: Monocular 3D Object Detection and SLAM
DynslamMaster'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.
Semantic sumaSuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
DynaslamDynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
PrometheusOpen source software for autonomous drones.
MaskfusionMaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Co FusionCo-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
Recent Stars 2021🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Comma2k19A driving dataset for the development and validation of fused pose estimators and mapping algorithms
G2opyPython binding of SLAM graph optimization framework g2o
Sparse To Dense.pytorchICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
FloamFast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)