JavaScript seems to be disabled in your browser. For the best experience on our site, be sure to turn on Javascript in your browser.

Artículo: AMZ-B0G4DJC6BJ

Drone Navigation with AI: A Hands-On Guide to Using OpenCV and deep learning for autonomous drone flight and obstacle avoidance.

Format:

Paperback

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad
En stock

Peso con empaque
0.57 kg

Devolución
Sí

Condición
Nuevo

Producto de
Amazon

Viaja desde
USA

Sobre este producto

Stop piloting. Start engineering. The era of manual flight is ending. The future of aviation belongs to machines that can see, think, and act for themselves. "Drone Navigation with AI" is not just a textbook; it is a comprehensive engineering blueprint for developers ready to cross the chasm from remote-controlled toys to fully autonomous robotic agents. If you have ever wanted to build a drone that can weave through a forest, track a moving vehicle, or map a building without a GPS signal, this is the guide you have been waiting for. Beyond the BasicsMany resources teach you how to fly a drone, and others teach you computer vision theory. Very few bridge the gap between the two. This book dismantles the complex barrier between high-level Python code and low-level flight physics. It assumes you know how to code, but it teaches you how to think like a robotics engineer. You will move beyond simple "Hello World" scripts and into the gritty, real-world challenges of autonomous flight: handling sensor noise, managing latency, optimizing neural networks for edge hardware, and recovering from visual occlusion. What You Will BuildThrough a structured, hands-on approach, this book guides you through the creation of a production-grade autonomous stack. You will master:The Hardware Rig: Learn to integrate Flight Controllers (Pixhawk/Cube) with Companion Computers (Raspberry Pi/Jetson) using the MAVLink protocol.Computer Vision Fundamentals: Move from raw pixels to actionable data. Implement Visual Odometry to navigate without GPS and use ArUco markers for centimeter-level precision landing.Control Theory: Replace jerky movements with cinematic smoothness using custom-tuned PID controllers and vector pursuit logic.Deep Learning on the Edge: Collect custom aerial datasets, train Convolutional Neural Networks (CNNs), and deploy YOLO models optimized for real-time inference on battery-powered hardware.Advanced Navigation: Implement SLAM (Simultaneous Localization and Mapping) to explore unknown environments, use A* algorithms for global path planning, and utilize Artificial Potential Fields for dynamic obstacle avoidance.Complex Behaviors: Code your drone to understand human gestures, coordinate in swarms, and execute precision payload deliveries.Safety First, Crash LastAutonomy is dangerous. A coding error in a web app crashes a server; a coding error in a drone crashes a vehicle. This book prioritizes a "Safety-First" architecture. You will learn to build rigorous software-in-the-loop (SITL) simulations using Gazebo, implement watchdog timers, code "dead man's switches," and design reflex logic that brakes the drone instantly when a collision is imminent. Who This Book Is ForThis guide is designed for software developers, engineering students, and advanced hobbyists who are tired of the limits of manual flight. Whether you are building a search-and-rescue bot, an agricultural surveyor, or simply want to push the boundaries of what a machine can do, this book provides the code, the math, and the logic to make it happen. Your code is the captain now. Prepare for takeoff.

$82,57

55% OFF

$37,53

$82,57

55% OFF

$37,53

Envío gratis

Llega en 5 a 12 días hábiles

Con envío

Tienes garantia de entrega

Medios de pago

Cantidad

Este producto viaja de USA

a tus manos en

Medios de pago

Tarjetas de Débito, Crédito y Deuna