Avionics & Autonomy

The avionics stack is the brain of your UAV: flight controller hardware, the PX4/ArduPilot ecosystem, centimetre-level positioning and the companion computers that run your autonomy software. These guides help you architect a stack you won't have to rip out at scale.

Avionics & Autonomy

AI Drone Integration: How to Put Artificial Intelligence on a UAV That Ships

AI drone integration explained end to end: edge vs cloud architecture, compute hardware, model pipelines, latency budgets, safety boundaries and EU regulation — with a reference stack diagram.

4 min read →
Avionics & Autonomy

Companion Computers for Drones: Onboard Compute for Real Autonomy

Choosing onboard compute for UAV autonomy: Jetson, Raspberry Pi and x86 compared, FC-to-companion architecture, power and thermal budgets, and software patterns.

3 min read →
Avionics & Autonomy

Flight Controller Hardware: How to Choose an FC for a Professional UAV

Choosing flight controller hardware for a commercial drone: Pixhawk standards, sensor redundancy, vibration isolation, interfaces, and supply-chain considerations.

3 min read →
Avionics & Autonomy

Practical AI Drone Integration: A Starter Build That Actually Flies

A simple, practical AI drone integration walkthrough: the minimal parts list, wiring it in an afternoon, running your first onboard detection, and the mistakes to skip.

3 min read →
Avionics & Autonomy

PX4 vs ArduPilot: Choosing a Flight Stack for Your Drone Startup

PX4 vs ArduPilot compared for commercial UAV development: licensing (BSD vs GPL), architecture, vehicle support, ecosystems, and how to actually choose.

3 min read →
Avionics & Autonomy

RTK and GNSS for Drones: Getting to Centimetre-Level Positioning

How drone GNSS positioning works: standard GPS vs RTK vs PPK accuracy, base stations and NTRIP corrections, multi-band receivers, antenna placement and failure modes.

3 min read →
Avionics & Autonomy

The UAV Sensor Suite: IMU, Barometer, Magnetometer, Airspeed and Rangefinders

What each drone sensor contributes to state estimation, how they fail, and how the EKF fuses them — IMU vibration, baro drift, compass interference, airspeed icing.

3 min read →