Stars
Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
Real Time SLAM (Simultaneous Localization And Mapping), based in LAAS-CNRS JAFAR library
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Multi-State Constraint Kalman Filter with ROS interface.
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial …
One has no future if one couldn't teach themself.
Official repository for the Microsoft C/C++ extension for VS Code.