Autonomous drones (21 résultats)

Paperback or Softback. Etat : New. Autonomous Drones II: Robotics, Computer Vision, AI. Book.

Paperback or Softback. Etat : New. Autonomous Drones I: Hardware, Ardupilot, MAVLink. Book.

Etat : New.

Etat : New.

Paperback. Etat : New.

Paperback. Etat : New.

Paperback. Etat : New.

Etat : New.

Paperback. Etat : New.

Paperback. Etat : New.

Paperback. Etat : New.

Paperback. Etat : new. Paperback. You have mastered the fundamentals (Volume 1). Now it is time to take it to the next level: intelligent autonomy.This book teaches you how to integrate robotics, computer vision, and artificial intelligence into real drones. Perfect for engineers looking to specialise in autonomous perception.Chapter 1 - ROS2 and Robotic Architecture- The de facto operating system in professional robotics.- Nodes, topics, messages - decentralised architecture.- Ardupilot + ROS2 integration (MAVLink bridge).- Nav2: 3D autonomous navigation stack.- Simulation with Gazebo + SITL.Chapter 2 - Computer Vision and Object Detection- OpenCV: real-time image processing.- YOLOv8: ultra-fast detection (45 FPS on GPU).- Classical methods vs. Deep Learning.- Integration with ROS2 (image publishers/subscribers).- Real-world use cases: detection of people, vehicles, points of interest.Chapter 3 - AI in Drones- Edge Computing: processing on the drone, not in the cloud.- Jetson line (Nano Orin): selection based on latency and budget.- Latency - TensorRT: 2-3x acceleration of NN models.- Complete architecture: Jetson + ROS2 + Ardupilot + vision.Key Features: - 246 pages of applied content.- Ready-to-use Python/C++ code.- 20+ graphs and flow diagrams.- Compatible with hardware: Jetson Nano, Orin NX, RTX.- Preparation for research/commercial drones.Prerequisites: - Familiarity with Python (Appendix A2).- Drone concepts (Volume 1).- Ubuntu 22.04 recommended.Who is it for?- Engineers specialising in robotic autonomy.- Researchers in computer vision.- AI drone startups.- Makers who want "intelligent" drones.From object detection to autonomous decision-making, you will learn the complete stack of intelligent drones.All examples, practices, exercises and exams are solved and available on GitHub: Take your drones to the next level with ROS2, computer vision (YOLOv8, OpenCV) and embedded AI on Jetson. Complete stack for intelligent autonomy. Python/C++ code and architecture diagrams. Source code available on GitHub. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. Do you want to build and program autonomous drones from scratch? This book is your complete guide to mastering the technological foundations of unmanned aerial vehicles (UAV).Written for junior engineers, advanced makers, and robotics students, Volume 1 covers the three essential pillars: Chapter 1 - Essential Hardware- Select and calibrate motors, batteries, and electronic components.- Design a high-performance 250mm X4 quadcopter.- Understand aerodynamics, frames, and power systems.- Hands-on projects: propeller balancing, thrust calculations.Chapter 2 - Ardupilot- Install and flash the most popular drone firmware (4.5 Stable).- Calibrate sensors: IMU, compass, barometer.- Master PID tuning for stable flight.- Configure flight modes: Manual, Stabilize, Loiter, RTH.- Create autonomous missions with QGroundControl.Chapter 3 - MAVLink Communications- Understand the drone telemetry protocol.- Analyse MAVLink packets in real time.- Integrate telemetry in Python with pymavlink.- Diagnose and troubleshoot connections.- Solid foundation for ROS2 (Volume 2).Key Features: - Hands-on approach with real code (Python, Bash).- 262 pages of professional technical content.- Quick-reference tables and visual diagrams.- Compatible with Pixhawk 6C and similar hardware.- Preparation for Volume 2 (ROS2, Computer Vision, AI).If you are looking to work with drones seriously, this is your starting point. From physics to firmware, everything you need to build professional UAVs.All examples, practices, exercises and exams are solved and available on GitHub: Learn to build autonomous drones: hardware, Ardupilot, MAVLink and Python. For engineers and makers. Calibration, PID tuning and autonomous missions. The definitive guide to building and programming autonomous drones from scratch. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. Do you want to build and program autonomous drones from scratch? This book is your complete guide to mastering the technological foundations of unmanned aerial vehicles (UAV).Written for junior engineers, advanced makers, and robotics students, Volume 1 covers the three essential pillars: Chapter 1 - Essential Hardware- Select and calibrate motors, batteries, and electronic components.- Design a high-performance 250mm X4 quadcopter.- Understand aerodynamics, frames, and power systems.- Hands-on projects: propeller balancing, thrust calculations.Chapter 2 - Ardupilot- Install and flash the most popular drone firmware (4.5 Stable).- Calibrate sensors: IMU, compass, barometer.- Master PID tuning for stable flight.- Configure flight modes: Manual, Stabilize, Loiter, RTH.- Create autonomous missions with QGroundControl.Chapter 3 - MAVLink Communications- Understand the drone telemetry protocol.- Analyse MAVLink packets in real time.- Integrate telemetry in Python with pymavlink.- Diagnose and troubleshoot connections.- Solid foundation for ROS2 (Volume 2).Key Features: - Hands-on approach with real code (Python, Bash).- 262 pages of professional technical content.- Quick-reference tables and visual diagrams.- Compatible with Pixhawk 6C and similar hardware.- Preparation for Volume 2 (ROS2, Computer Vision, AI).If you are looking to work with drones seriously, this is your starting point. From physics to firmware, everything you need to build professional UAVs.All examples, practices, exercises and exams are solved and available on GitHub: Learn to build autonomous drones: hardware, Ardupilot, MAVLink and Python. For engineers and makers. Calibration, PID tuning and autonomous missions. The definitive guide to building and programming autonomous drones from scratch. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Etat : new. Paperback. Do you want to build and program autonomous drones from scratch? This book is your complete guide to mastering the technological foundations of unmanned aerial vehicles (UAV).Written for junior engineers, advanced makers, and robotics students, Volume 1 covers the three essential pillars: Chapter 1 - Essential Hardware- Select and calibrate motors, batteries, and electronic components.- Design a high-performance 250mm X4 quadcopter.- Understand aerodynamics, frames, and power systems.- Hands-on projects: propeller balancing, thrust calculations.Chapter 2 - Ardupilot- Install and flash the most popular drone firmware (4.5 Stable).- Calibrate sensors: IMU, compass, barometer.- Master PID tuning for stable flight.- Configure flight modes: Manual, Stabilize, Loiter, RTH.- Create autonomous missions with QGroundControl.Chapter 3 - MAVLink Communications- Understand the drone telemetry protocol.- Analyse MAVLink packets in real time.- Integrate telemetry in Python with pymavlink.- Diagnose and troubleshoot connections.- Solid foundation for ROS2 (Volume 2).Key Features: - Hands-on approach with real code (Python, Bash).- 262 pages of professional technical content.- Quick-reference tables and visual diagrams.- Compatible with Pixhawk 6C and similar hardware.- Preparation for Volume 2 (ROS2, Computer Vision, AI).If you are looking to work with drones seriously, this is your starting point. From physics to firmware, everything you need to build professional UAVs.All examples, practices, exercises and exams are solved and available on GitHub: Learn to build autonomous drones: hardware, Ardupilot, MAVLink and Python. For engineers and makers. Calibration, PID tuning and autonomous missions. The definitive guide to building and programming autonomous drones from scratch. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. You have mastered the fundamentals (Volume 1). Now it is time to take it to the next level: intelligent autonomy.This book teaches you how to integrate robotics, computer vision, and artificial intelligence into real drones. Perfect for engineers looking to specialise in autonomous perception.Chapter 1 - ROS2 and Robotic Architecture- The de facto operating system in professional robotics.- Nodes, topics, messages - decentralised architecture.- Ardupilot + ROS2 integration (MAVLink bridge).- Nav2: 3D autonomous navigation stack.- Simulation with Gazebo + SITL.Chapter 2 - Computer Vision and Object Detection- OpenCV: real-time image processing.- YOLOv8: ultra-fast detection (45 FPS on GPU).- Classical methods vs. Deep Learning.- Integration with ROS2 (image publishers/subscribers).- Real-world use cases: detection of people, vehicles, points of interest.Chapter 3 - AI in Drones- Edge Computing: processing on the drone, not in the cloud.- Jetson line (Nano Orin): selection based on latency and budget.- Latency - TensorRT: 2-3x acceleration of NN models.- Complete architecture: Jetson + ROS2 + Ardupilot + vision.Key Features: - 246 pages of applied content.- Ready-to-use Python/C++ code.- 20+ graphs and flow diagrams.- Compatible with hardware: Jetson Nano, Orin NX, RTX.- Preparation for research/commercial drones.Prerequisites: - Familiarity with Python (Appendix A2).- Drone concepts (Volume 1).- Ubuntu 22.04 recommended.Who is it for?- Engineers specialising in robotic autonomy.- Researchers in computer vision.- AI drone startups.- Makers who want "intelligent" drones.From object detection to autonomous decision-making, you will learn the complete stack of intelligent drones.All examples, practices, exercises and exams are solved and available on GitHub: Take your drones to the next level with ROS2, computer vision (YOLOv8, OpenCV) and embedded AI on Jetson. Complete stack for intelligent autonomy. Python/C++ code and architecture diagrams. Source code available on GitHub. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. You have mastered the fundamentals (Volume 1). Now it is time to take it to the next level: intelligent autonomy.This book teaches you how to integrate robotics, computer vision, and artificial intelligence into real drones. Perfect for engineers looking to specialise in autonomous perception.Chapter 1 - ROS2 and Robotic Architecture- The de facto operating system in professional robotics.- Nodes, topics, messages - decentralised architecture.- Ardupilot + ROS2 integration (MAVLink bridge).- Nav2: 3D autonomous navigation stack.- Simulation with Gazebo + SITL.Chapter 2 - Computer Vision and Object Detection- OpenCV: real-time image processing.- YOLOv8: ultra-fast detection (45 FPS on GPU).- Classical methods vs. Deep Learning.- Integration with ROS2 (image publishers/subscribers).- Real-world use cases: detection of people, vehicles, points of interest.Chapter 3 - AI in Drones- Edge Computing: processing on the drone, not in the cloud.- Jetson line (Nano Orin): selection based on latency and budget.- Latency - TensorRT: 2-3x acceleration of NN models.- Complete architecture: Jetson + ROS2 + Ardupilot + vision.Key Features: - 246 pages of applied content.- Ready-to-use Python/C++ code.- 20+ graphs and flow diagrams.- Compatible with hardware: Jetson Nano, Orin NX, RTX.- Preparation for research/commercial drones.Prerequisites: - Familiarity with Python (Appendix A2).- Drone concepts (Volume 1).- Ubuntu 22.04 recommended.Who is it for?- Engineers specialising in robotic autonomy.- Researchers in computer vision.- AI drone startups.- Makers who want "intelligent" drones.From object detection to autonomous decision-making, you will learn the complete stack of intelligent drones.All examples, practices, exercises and exams are solved and available on GitHub: Take your drones to the next level with ROS2, computer vision (YOLOv8, OpenCV) and embedded AI on Jetson. Complete stack for intelligent autonomy. Python/C++ code and architecture diagrams. Source code available on GitHub. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Etat : Neu. Autonomous Drones II | Robotics, Computer Vision, AI | Daniel Martinez Gonzalez | Taschenbuch | Autonomous Drones | Englisch | 2026 | DroneBooks | EAN 9788409871711 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Etat : Neu. Autonomous Drones I | Hardware, Ardupilot, MAVLink | Daniel Martinez Gonzalez | Taschenbuch | Autonomous Drones | Englisch | 2026 | DroneBooks | EAN 9788409871704 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…