SKU/Artículo: AMZ-B0GK7H5DQ7
Python for Aerial Robotics: Implementing Navigation and Computer Vision Algorithms from Scratch
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.42 kg
0.42 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Don't Just Use Libraries. Build the Algorithms.True mastery in robotics doesn't come from importing a package—it comes from understanding the math and logic behind the code.Many drone resources teach you to copy-paste scripts. Python for Aerial Robotics teaches you to think like a robotics engineer. This book is for the developer who wants to look under the hood of autonomous flight and build the core algorithms that make aerial robots intelligent.From the physics of flight to the mathematics of visual perception, this guide takes a "first principles" approach. You won't just learn how to use a navigation stack; you will write the Python code that makes navigation possible.Construct Your Own Autonomy StackBy stripping away the abstraction layers, you will gain a deep, professional understanding of how UAVs perceive and navigate the world.Navigation & Path Planning: Implement A* (A-Star) and Dijkstra algorithms from scratch to solve complex 3D maze environments.Control Theory Fundamentals: Write your own PID controllers to stabilize flight and understand the physics of quadcopter dynamics.Computer Vision from the Ground Up: Code raw image processing algorithms to detect edges, filter noise, and identify targets without relying solely on black-box tools.State Estimation: Learn how to fuse sensor data using Kalman Filters to determine exactly where your drone is in 3D space.Algorithm Optimization: Learn to write clean, efficient Python code that runs effectively on constrained embedded hardware.This is the bridge between theoretical computer science and real-world application. If you are a student, researcher, or engineer looking to prove your skills by building—not just using—robotic software, this is your manual.Build the code that powers the future of flight. Scroll up and buy now to start implementing your own algorithms today.
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