Implement D*Lite and A* Algorithm on Processing environment
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Updated
Apr 7, 2017 - Python
Implement D*Lite and A* Algorithm on Processing environment
LeJOS local navigation stack
Conversion from mesh (.ply files) to bitmap Occupancy map (.png file)
A very crude implementation of quadtree (just for visualization purposes)
SLAM with occupancy grid and particle filter, using lidar, joints, IMU and odometry data from THOR humanoid robot
This project is part of the Autonomous Systems course from Instituto Superior Técnico
Algorithm that converts point cloud data into an occupancy grid
This project is part of the Autonomous Systems course from Instituto Superior Técnico. The main goal of this project is to implement the Occupancy Grid Mapping algorithm and estimate, accurately, maps from different divisions using the Microsoft Kinect depth camera and the Pioneer-3DX.
A Python implementation of the A* algorithm in a 2D Occupancy Grid Map
Real-time visual Simultaneous Localization and Mapping using ORB-SLAM2 for a DJI Tello Drone
Map My World (project 4 of 5 from Udacity Robotics Software Engineer Nanodegree)
multi-agent moving target pursuit in an unknown 4-connected grid world with persistent coverage planning
Converter 3D pointcloud map to octomap or occupancy grid map
Project 4 - Udacity Robotics Software Engineer Nanodegree Program
Cartographer with ROS integration is used for real time SLAM
ROS obstacle detection for 3D point clouds using a height map algorithm.
Udacity Robotics Software Engineer Nanodegree Projects
Sketch of low-level/low-resources graphic engine: Occupancy Grid Mapping for robot navigation tasks.
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