Lists (6)
Stars
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
COLMAP - Structure-from-Motion and Multi-View Stereo
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
A Robust and Versatile Monocular Visual-Inertial State Estimator
The Kalibr visual-inertial calibration toolbox
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
An optimization-based multi-sensor state estimator
open Multi-View Stereo reconstruction library
A flexible, high-performance 3D simulator for Embodied AI research.
g2o: A General Framework for Graph Optimization
An open source platform for visual-inertial navigation research.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
[DEPRECATED] GLOMAP - Global Structured-from-Motion Revisited
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
C++11/14/17/20 Concurrency Demystified: From Core Principles to Thread-Safe Code
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A collection of GICP-based fast point cloud registration algorithms
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels