gerry101 / backyard-flyer-drone-project

Project to get a drone to takeoff, fly a predetermined path, and land in a simulated backyard environment.

Autonomous Flight Engineering Training: Project 1

Backyard Flyer

This project was aimed towards getting a drone to fly a pre-determined flight path autonomously. It goes further to introduce the event driven programming paradigm in python, that will be essential in the development of autonomous aerial systems.

To successfully complete this project, I:

• Wrote a python class to interface with Udacity's Udacidrone API. This is the API to the high fidelity aerial systems simulator that is used to test the drone in this project.
• Designed and wrote event driven python methods that would allow the drone to takeoff, fly towards a particular set of checkpoints and land safely.
• Tested the program through the Udacity aerial simulator.
• Had lots of fun!

To run this project:

• Download Udacity's aerial simulator. Its Github link is below.

https://github.com/udacity/FCND-Simulator-Releases/releases

• Have a look at the Udacidrone API so as to maintain sanity while going through the project. Download dependent modules.

https://udacity.github.io/udacidrone/docs/welcome.html

• Clone this repository.
• Navigate to the FCND-Backyard-Flyer folder.
• While the simulator's Backyard Flyer instance is running, run:

python backyard_flyer.py

• Enjoy the simple backyard flyer.

Happy hacking,

Gerry