Hey DroneTrest community,
Lately, I’ve been thinking a lot about where our hobby is heading, and I wanted to share a few thoughts on artificial intelligence in FPV.
For most of us, FPV is all about absolute control. When you fly in Acro, there are no software intermediaries between your fingers on the sticks and the motors, except for the basic flight controller mathematics. Every flip, every gap you hit is purely down to your muscle memory and reaction time. We love this hobby specifically for its analog honesty and raw difficulty.
But looking at the engineering side, AI is already on our doorstep, and it’s quietly changing the game. I’m not talking about autonomous delivery drones; I’m talking about technologies that directly affect how we build and fly.
First, there’s the routine tuning we all endure. Tuning PIDs and filtering gyro noise through Blackbox logs, for instance. For many pilots, this is a dark art. Neural networks are already capable of analyzing these logs in seconds and outputting perfect presets for a specific frame and motor combo. Does it make life easier? Absolutely. It saves hours of troubleshooting and packs of batteries spent on field tuning.
Second, think about real-time adaptive control algorithms. Imagine taking a hit during a flight and chipping a prop badly. Right now, your FC will try to compensate through classic PID loops, but you’ll get nasty oscillations, washouts, or just a straight-up crash. An AI-driven algorithm based on neural networks could instantly adapt the control model to the drone’s altered physics, dynamically compensating for the lost thrust on that damaged arm. For long-range rigs or heavy cinewhoops, this could easily save a ton of expensive gear.
Then there’s edge-computing computer vision. As hardware gets lighter and more power-efficient, we can run lightweight vision models directly on our builds. A drone could analyze its surroundings with minimal latency. Sure, this will help avoid hitting a ghost branch or a power line that you couldn’t see in your goggles. But where do we draw the line between helpful assistance and the drone flying for us?
We all saw the University of Zurich’s Swift drone beat world-class pilots on a gate track. It’s an incredible engineering triumph, but it also shows that in the near future, the human pilot might become the weakest link in the system.
Personally, I worry that as “smart” assistants become the norm, we might lose the soul of FPV. If a system is constantly micro-adjusting my flight path so I don’t crash, it’s not really my flight anymore. It’s the algorithm’s flight, and I’m just telling it which way to point.
I’m curious to hear your thoughts. Where do you draw the line between a useful tool (like automated filtering or smart fail-safes) and a loss of pilot agency? Are you ready to let AI into your flight stack?