With the simulation environment set up and basic wall-following behaviour validated, the next critical component for autonomous obstacle avoidance is depth perception. Since the Crazyflie AI deck provides only a single monocular camera, traditional stereo vision approaches are out of the question. This presents the classic challenge of extracting 3D

With the Wi-Fi streamer finally working (albeit with some freezing issues to resolve), I decided to shift gears and focus on developing the obstacle avoidance algorithms in parallel. Rather than risking crashes with the physical drone while debugging code, setting up a proper simulation environment seemed like the logical next

I've spent the last few weeks battling with the Wi-Fi streamer on the AI deck, and I'm happy to report I finally got some images streamed to my PC! It wasn't easy, and I expect more challenges ahead, but here's my experience

This post is a simple introduction to a project I am currently working on. I don’t intend to polish these posts to a high degree—instead, I’ll use this space to talk through my work as I go, sharing my progress, thoughts, and questions along the way. For