Universal grid map library for mobile robotic mapping

Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping

Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

A collection of algorithms used for any-angle pathfinding with visualisations.

An incremental laser scan matcher, using PLICP (point-to-line iterative closest point) scan matching algorithm.

Inspect, compare and align multiple grid maps in an intuitive & fast GUI

🚀 SLAM for autonomous planetary rovers with global localization

A C++ library for ground segmentation of a pointcloud

Creating Occupancy Grid Maps using Static State Bayes filter and Bresenham's algorithm for mobile robot (turtlebot3_burger) in ROS.

Edge N-Level Sparse Visibility Graphs for fast optimal Any-Angle Pathfinding

Human Aware Robot Navigation Algorithm

Ayudar a vendedores ambulantes en un parque para llegar a sus clientes, recorriendo la menor distancia con el Algoritmo A*.

Dynamic Programming has been implemented in MATLAB using two illustrative example

A standalone C++17 grid map library for robotics — no ROS, just Eigen

A C++ library that wraps Karto's laser scan matcher

Terrain estimation and mapping using grid_map and single state EKF using ROS2

A ros based library for point cloud processing

A C++ OOP application designed to read, process, and transform 3D point cloud data acquired from depth cameras. The project includes features for spatial transformations, point cloud recording, and mapping the environment into a 3D grid.