Drones Autónomos II: Robótica, Visión Artificial, IA
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Imported Edition - Ships in 18-21 Days
Free Shipping in India on orders above Rs. 500
Has dominado los fundamentos (Volumen 1). Ahora es hora de llevarlo al siguiente nivel: autonom�a inteligente.
Este libro te ense�a c�mo integrar rob�tica, visi�n por computadora e inteligencia artificial en drones reales. Perfecto para ingenieros que quieren especializarse en percepci�n aut�noma.
Cap�tulo 1 - ROS2 y Arquitectura Rob�tica
- Sistema operativo de facto en rob�tica profesional.
- Nodos, t�picos, mensajes - arquitectura descentralizada.
- Integraci�n Ardupilot + ROS2 (bridge MAVLink).
- Nav2: stack de navegaci�n aut�noma en 3D.
- Simulaci�n con Gazebo + SITL.
Cap�tulo 2 - Visi�n Artificial y Detecci�n de Objetos
- OpenCV: procesamiento de im�genes en tiempo real.
- YOLOv8: detecci�n ultrarr�pida (45 FPS en GPU).
- M�todos cl�sicos vs. Deep Learning.
- Integraci�n con ROS2 (publishers/subscribers de im�genes).
- Casos reales: detecci�n de personas, veh�culos, puntos de inter�s.
Cap�tulo 3 - IA en Drones
- Edge Computing: procesar en el drone, no en la nube.
- L�nea Jetson (Nano → Orin): elecci�n seg�n latencia y presupuesto.
- Latencia
- TensorRT: aceleraci�n 2-3x de modelos NN.
- Arquitectura completa: Jetson + ROS2 + Ardupilot + visi�n.
Caracter�sticas clave:
- 246 p�ginas densas de contenido aplicado
- C�digo Python/C++ listo para usar.
- 20+ gr�ficos y diagramas de flujo.
- Compatible con hardware: Jetson Nano, Orin NX, RTX.
- Preparaci�n para drones de investigaci�n/comercial.
Requisitos previos:
- Familiaridad con Python (Anexo A2).
- Conceptos de drones (Volumen 1).
- Ubuntu 22.04 recomendado.
Para qui�n es?
- Ingenieros especializ�ndose en autonom�a rob�tica.
- Investigadores en visi�n artificial.
- Startups de drones con IA.
- Makers que quieren drones "inteligentes".
Desde detecci�n de objetos hasta toma de decisiones aut�noma, aprender�s el stack completo de drones inteligentes.
Todos los ejemplos, pr�cticas, ejercicios y ex�menes est�n resueltos y disponibles en GitHub:
https: //github.com/DroneBooks/DronesAutonomos
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