Implementation of SLAM on a drone using ROS and Gazebo
Using Gmapping and RTAB-map to create a map and do SLAM for a drone in an environment
Ratings 2.09 / 5.00
What You Will Learn!
- Launching a drone in ROS
- Controlling the drone
- Creating 2D map by Gmapping and RTAB-map
- Creating 3D map by RTAB-map
- Adding an RGB-D sensor to the drone
- Localization by RATB-map
- AMCL localization approach
Description
This course is considered a very big step for any person looking forward to studying autonomous navigation for self driving vehicles or drones for any application where the drone must be able to study the environment and locate itself in it.
The course is suitable for any student who only knows the meaning of Workspace,Package,Node and Topics.
In this course you will learn how to use a drone on ROS, how to fly it then you will use different packages for mapping and localization such as Gmapping, RTAB-map and AMCL. The codes are ready for download and use and during the course every code used will be studied and explained to understand what you are doing as well as having quizzes to test your understanding to gain the most knowledge out of this course.
Who Should Attend!
- Mechatronics engineers
- Computer science engineers
- Any student interested in Autonomous vehicles and self driving vehicles
