SKU/Artículo: AMZ-B0GK7H5DQ7

Python for Aerial Robotics: Implementing Navigation and Computer Vision Algorithms from Scratch

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En stock

Peso con empaque:
0.59 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

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.

AR$51.115

44% OFF

AR$28.399

AR$51.115

44% OFF

AR$28.399

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