Eigen
FrameworkOpen-source projects built with Eigen
There are currently 67 open-source projects built with Eigen, with a combined total of 93.5k GitHub stars. The most common language among these projects is C++.
Showing 67 open-source projects · page 1 of 2
A free software for creating solid 3D CAD models using a script-based approach, focusing on CAD rather than artistic modeling.
An accurate open-source library for visual, visual-inertial, and multi-map SLAM supporting monocular, stereo, and RGB-D cameras.
A powerful, mature open-source cross-platform game engine for Python and C++ programs, originally developed by Disney and CMU.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package using a tightly-coupled iterated Kalman filter.
A fast and flexible C++ library implementing state-of-the-art Rigid Body Dynamics algorithms and their analytical derivatives.
A neural network library optimized for dynamic structures that change per training instance, with C++ and Python bindings.
A robust and efficient trajectory planner enabling quadrotor fast flight in complex unknown environments.
A C++ library with ROS interface for managing multi-layered 2D grid maps in mobile robotics.
A versatile visual SLAM framework for monocular, stereo, and RGB-D cameras with map storage and reuse capabilities.
A real-time monocular SLAM system that creates large-scale semi-dense maps using a fully direct approach without feature extraction.
A direct sparse odometry library for real-time monocular visual SLAM, estimating camera motion from image sequences.
A clean, simplified implementation of the LOAM algorithm for real-time LiDAR odometry and mapping using Eigen and Ceres Solver.
An open-source sampling-based motion planning library with over 40 algorithms and SIMD-accelerated performance for robotics and autonomous systems.
A ROS package for robot-centric elevation mapping that handles pose uncertainty for navigation on rough terrain.
A modular C++ library implementing the Iterative Closest Point (ICP) algorithm for aligning 2D and 3D point clouds in robotics and computer vision.
A C++ library for collision detection, distance computation, and proximity queries between 3D geometric models.
An efficient C++ library for robotics, optimal control, and model predictive control with a focus on online performance.
A collection of high-performance GICP-based point cloud registration algorithms with multi-threaded and GPU-accelerated implementations.
A real-time monocular SLAM system for computing camera trajectories and sparse 3D scene reconstruction.
A deep learning technique for finding semantically-meaningful dense correspondences between images to enable visual attribute transfer.
An optimal trajectory planner for mobile robots using Timed Elastic Bands to optimize paths considering time, obstacles, and kinodynamic constraints.
Real-time, jerk-constrained, time-optimal trajectory generation for robots and machines.
A framework for building parallel, multi-disciplinary simulation software, focusing on modularity, extensibility, and high-performance computing.
A lean and fast C++ library for 3D point cloud data processing with efficient implementations of common operations.
A lightweight header-only C++ library for running Keras (TensorFlow) models without linking against TensorFlow.
A ROS-based method for extrinsic calibration between a 3D LiDAR and a 6-DOF pose sensor using point cloud crispness optimization.
An efficient LiDAR-based semantic SLAM system that builds 3D semantic maps from laser scans.
An open-source visual-inertial odometry system that estimates camera motion and sparse 3D maps from camera and IMU data.
A header-only C++ library for solving large-scale eigenvalue problems, built on top of Eigen.
A C++ API wrapper for displaying shapes, meshes, and markers in Rviz for debugging and visualizing robot data.
A C++ library for fast ground segmentation from LiDAR point clouds using the line-fit algorithm.
A lightweight, accurate, and robust monocular visual-inertial odometry system based on a hybrid Multi-State Constraint Kalman Filter.
Detects 6-DOF grasp poses for parallel jaw grippers in 3D point clouds, enabling robotic grasping of novel objects in clutter.
A desktop tool for labeling individual points and polygons in LiDAR point cloud datasets, specifically designed for KITTI format.
A CUDA-accelerated library collection for point cloud processing, providing GPU-optimized alternatives to PCL functions.
An R package for fitting linear, generalized, and nonlinear mixed-effects models using S4 classes and RcppEigen.
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