Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
The ROSPlan framework provides a generic method for task planning in a ROS system.
Odom intrinsic and odom-sensors extrinsic calibration on SE2 using batch optimization.
Robotnik - Movebase Planner - Package to define (in rviz) sequence of waypoints and send them to movebase
