This project is part of the Autonomous Systems course from Instituto Superior Técnico
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Updated
Dec 17, 2018 - Python
This project is part of the Autonomous Systems course from Instituto Superior Técnico
Finding a shortest path on a binary occupancy map
occupancy grid map generator using pointcloud2, in ROS2 foxy
Occupancy Grid Mapping using the Counting Sensor Model
This reposity present an approach to build 2D evidential occupancy grid maps with Lidar data
Map My World (project 4 of 5 from Udacity Robotics Software Engineer Nanodegree)
Develope a Roomba-like system by integrating localization and motion planner to achieve max coverage.
Solution for course (RO47004) project of TU Delft robotics program. Visualizing LIDAR and stereo vision camera info on a common reference frame.
Designed to create an occupancy grid, also known as an obstacle map, from detections sourced from ultrasonic sensors mounted on a robot. This map is crucial for robotic navigation and environment interaction, especially in autonomous tasks.
This project was made in the Autonomous Systems course of Instituto Superior Técnico, Lisbon. The objective was to map and environment using a drone with a Lidar sensor, using the occupancy rid mapping algorithm.
Cartographer with ROS integration is used for real time SLAM
Repository to create occupancy grid map from rosbag file containing lidar and wheel odometry data in ROS2
StellarAI 🌠: Autonomous Navigation for Robotics - developed for course Produktentwicklung (PREN) at Hochschule Luzern.
ROS2 creating map with gazebo
Converter 3D pointcloud map to octomap or occupancy grid map
Udacity Robotics Software Engineer Nanodegree Projects
Used RTABMAP package to make a differential wheeled robot simultaneous localization and mapping and generated a 2D Occupancy grid and 3D Octomap.
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