Drone Programming with Python: Building Autonomous Flight Systems Using DroneKit, OpenCV, and Deep Learning for Real-Time Object Tracking.
Format:
Paperback
En stock
0.50 kg
Sí
Nuevo
Amazon
USA
- Stop Piloting. Start Programming. The joystick is dead. The future of flight is defined by lines of code, not the dexterity of your thumbs. Are you ready to build the machine that flies itself? In the rapidly evolving world of robotics, the ability to manually fly a drone is no longer a premium skill, it is a bottleneck. The next generation of unmanned aerial vehicles (UAVs) demands autonomy. They must see, think, and react faster than any human pilot ever could. They need to navigate GPS-denied tunnels, recognize specific targets from thousands of feet in the air, and coordinate in swarms without a single radio command. "Drone Programming with Python" is your definitive field guide to crossing the chasm from hobbyist to autonomous systems engineer. This is not a book about taking pretty aerial photos. This is a deep-dive engineering manual that strips away the mystery of professional drone development. By leveraging the power of Python, Raspberry Pi, and the Pixhawk flight controller, you will learn to transform a standard quadcopter into a flying Linux server capable of complex, edge-computed missions. What You Will Unlock Inside: This book takes a "Simulation-First" approach, teaching you how to crash code in a virtual environment before you ever risk carbon fiber in the field. From the first line of MAVLink to the final deployment of a neural network, you will master the full autonomy stack:The Virtual Cockpit: Master SITL (Software In The Loop) to develop and test mission-critical code at your desk, ensuring 100% reliability before takeoff.Beyond GPS: Build Computer Vision systems using OpenCV that allow your drone to navigate visually. Implement Optical Flow for indoor stability and create Precision Landing systems that lock onto ArduCo markers with centimeter-level accuracy.The Neural Drone: Move beyond simple color tracking. Deploy TensorFlow Lite and YOLO models directly on the edge. Teach your drone to distinguish between a person, a car, and a tree in real-time.Advanced Control Theory: Replace jerky "bang-bang" logic with smooth PID Controllers. Learn the mathematics of visual servoing to keep moving targets centered in your frame automatically.Swarm Orchestration: Break the 1-to-1 tether. Learn to command a fleet of drones simultaneously, managing unique System IDs, formation flight, and synchronized takeoffs using Python classes.Unlimited Range: Sever the radio leash. Build a 4G/LTE Telemetry link using ZeroTier, allowing you to control your drone from anywhere on the planet.Field Hardening: Professionalize your build. Automate boot sequences with Systemd, manage CPU thermals in direct sunlight, and write "Black Box" loggers that preserve forensic data even in the event of a crash.Who This Book Is For:Python Developers bored with web scraping who want to see their code move physical objects in the real world.Drone Hobbyists ready to retire the remote controller and unlock the full potential of their hardware.Robotics Students & Engineers looking for a practical, code-heavy guide to MAVLink, ArduPilot, and Edge AI without the fluff.The Sky Is No Longer the Limit, It’s Your Development Environment. Don't just buy a drone. Build a robot. Grab your copy of "Drone Programming with Python" today and write the code that conquers the sky.
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