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Sinopsis
✈️ Drone Software Engineering Architecting Scalable Flight Control Systems
Design and Build Reliable, Scalable Flight Control Systems for Autonomous Drones
Drones are transforming industries from agriculture to logistics, and behind every successful drone is a robust flight control system. Drone Software Engineering is your definitive guide to architecting scalable, fault-tolerant flight control systems that power autonomous flight operations.
In this book, you’ll learn how to design and implement mission-critical software that ensures drones operate safely and efficiently across various environments—whether in the air, on the ground, or even in extreme conditions.
What you’ll learn:
Design modular flight control systems with ROS2 for scalable and maintainable drone architectures
Develop sensor fusion algorithms that integrate data from IMUs, GPS, LiDAR, and cameras for precise flight control
Architect fault-tolerant systems that handle dynamic weather conditions, sensor failure, and communication loss
Implement PID controllers and advanced control algorithms for stable and responsive flight
Build real-time telemetry systems for data logging, performance tracking, and diagnostics
Use simulation tools like Gazebo and ROS2 for testing and optimizing flight behaviors in virtual environments
Manage multi-drone coordination and fleet control systems for scalable autonomous operations
Whether you’re building single-drone systems or designing multi-agent drone fleets, this book gives you the expertise to build reliable, safe, and scalable flight control systems that can adapt to any mission.
🧠 Perfect for aerospace engineers, drone software developers, and robotics system architects
📦 Includes code examples, architecture templates, and real-world use cases for scalable systems
⚙️ Covers ROS2, Gazebo integration, and best practices for drone control architecture
Build intelligent, reliable flight control systems. Architect scalable drone software for the future of flight.
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Drone Software Engineering: Architecting Scalable Flight Control Systems
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Drone Software Engineering: Architecting Scalable Flight Control Systems
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Drone Software Engineering: Architecting Scalable Flight Control Systems
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Drone Software Engineering: Architecting Scalable Flight Control Systems
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Drone Software Engineering (Paperback)
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Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Drone Software Engineering Architecting Scalable Flight Control SystemsDesign and Build Reliable, Scalable Flight Control Systems for Autonomous DronesDrones are transforming industries from agriculture to logistics, and behind every successful drone is a robust flight control system. Drone Software Engineering is your definitive guide to architecting scalable, fault-tolerant flight control systems that power autonomous flight operations.In this book, you'll learn how to design and implement mission-critical software that ensures drones operate safely and efficiently across various environments-whether in the air, on the ground, or even in extreme conditions.What you'll learn: Design modular flight control systems with ROS2 for scalable and maintainable drone architecturesDevelop sensor fusion algorithms that integrate data from IMUs, GPS, LiDAR, and cameras for precise flight controlArchitect fault-tolerant systems that handle dynamic weather conditions, sensor failure, and communication lossImplement PID controllers and advanced control algorithms for stable and responsive flightBuild real-time telemetry systems for data logging, performance tracking, and diagnosticsUse simulation tools like Gazebo and ROS2 for testing and optimizing flight behaviors in virtual environmentsManage multi-drone coordination and fleet control systems for scalable autonomous operationsWhether you're building single-drone systems or designing multi-agent drone fleets, this book gives you the expertise to build reliable, safe, and scalable flight control systems that can adapt to any mission. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798294777036
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