Python sample codes and textbook for robotics algorithms.
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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Python package for the evaluation of odometry and SLAM
g2o: A General Framework for Graph Optimization
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
An open source platform for visual-inertial navigation research.
:sunglasses: A curated list of robotics libraries and software
A Modular and Multi-Modal Mapping Framework
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Advanced implementation of LOAM
A LiDAR odometry pipeline that just works
3D LIDAR-based Graph SLAM
:zap: The Mobile Robot Programming Toolkit (MRPT)
Index repo for Kimera code
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
gradslam is an open source differentiable dense SLAM library for PyTorch
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Interactive Map Correction for 3D Graph SLAM
X Inertial-aided Visual Odometry
CubeSLAM: Monocular 3D Object Detection and SLAM