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This website (a work in progress) will describe from start to finish how to build an AI drone. The organization and structure are my own. |
CLICK ON "Wiki" above to access the wiki. The rest of this readme refers to an old version of how I planned to do things.
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Yolo AI (camera view) running in a drone simulator
I began discussions with Auxiliumua.org (an American NGO) in October 2023 about working with Auxilium on drone projects in Ukraine. One of their projects is to build drones that can search for and classify mines (in mine fields). This project, and AI drones in general, really intrigued me. It would also be a good way to improve my Linux, Python and C++ skills.
So I started to do some research. At first I did AI examples (openCV, TensorFlow, Pytorch, etc.). My notes (docs 7a/b, 8, 9) are available on my Google Drive at
drive.google.com/drive/folders/1CkfDvKPW6hg2nCAZjw19lLWQYFIuOu6Q
I then started working on drone simulation. I had no previous drone experience, and I was working alone with only search engines, Youtube and StackOverflow as assistance. Detailed technical documentation is critical in such a situation. My main drone working files (.docx) are all located on my Gdrive (the chapters in this Gitbook correspond to documents on my Gdrive) at
drive.google.com/drive/folders/1HrzLExPTAL5PIKx_j_y0GJ6_RANR8Tjm
The Gdrive documents are working documents that have all the critical details you need to build a drone from scratch with minimal experience. It's not possible to use GitBook to create and manage such large and complicated documents. This GitBook website will be a "distilled" version of my working docs. Basically a conceptual overview that will introduce the drone concepts in a logical and orderly fashion. Something that I could not find on the internet.