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Als preiswerte und flexible Option bietet der Arduino im Bereich der Open-Source-Mikrocontroller-Plattformen eine nahezu unbegrenzte Palette von Add-ons f|r Ein- und Ausgñge - wie Displays, Sensoren, Aktoren und vielen mehr. In Arduino-Workshops erfahren Sie, wie diese Add-ons funktionieren und wie sie in eigene Projekte integriert werden kn̲nen. Sie starten mit einem ?berblick |ber das Arduino-System und kriegen dann einen Einblick in die verschiedenen elektronischen Komponenten und Konzepte. Hands-on-Projekte, die |ber das ganze Buch verteilt sind vertiefen das Gelernte Schritt f|r Schritt und helfen Ihnen, dieses Wissen anzuwenden. Mit einhergehendem Fortschritt werden auch die Projekte komplexer und raffinierter.

Arduino (Programmable controller) --- Microcontrollers --- Programmable controllers. --- Programming.

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Remote controlled helicopters (usually shortened to RC helicopters) are a specific type of rotary-wing drone.
Their main advantage relies on their better power efficiency and reactivity than traditional “multicopter” drones.
However, they are unstable in flight and their greater reactivity makes their control quite challenging. In this
master thesis, we will explore how to ease RC helicopter control, by adding a flight controller allowing any newcomer
to control the helicopter in a much simpler way.
We will explore the hardware and software required to add such a flight controller to an existing RC Helicopter
and will discuss our return of experience on adding a Pixhawk 4 mini flight controller running ArduPilot to the Devil
380 RC Helicopter.

RC helicopter control --- ardupilot --- flight controller --- pixhawk 4 mini --- devil 380 control --- Ingénierie, informatique & technologie > Ingénierie civile

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(Produktform)Paperback / softback --- (Produktform (spezifisch))Paperback (DE) --- Raspberry Pi --- Programming --- Projects --- PID Controller --- Arduino --- (VLB-WN)1684: Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik

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This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems.

Technology: general issues --- History of engineering & technology --- nonlinear height control --- active air suspension --- output constraints --- random road excitation --- disturbance observer design --- electric vehicles --- in-vehicle network --- controller area network --- cybersecurity --- intrusion detection --- deep learning --- transfer learning --- model-based control --- vehicle dynamic potential --- tyre thermodynamics --- tyre wear --- weather influence --- vehicle safety --- double lane change --- safety optimization --- noninverting buck–boost converter --- high efficiency --- wide bandwidth control --- discrete-time sliding-mode current control (DSMCC) --- electric vehicle (EV) --- driver vehicle system --- energy management --- vehicle localization --- GNSS receivers --- RTK corrections --- sensor redundancy --- VMS --- machine learning --- ADAS --- image processing --- environment perception --- semantics --- 3D multiple object detection --- multiple object tracking --- dynamic SLAM --- roll angle estimator --- Kalman filter --- LQR controller --- inertial sensors --- motorcycle lean angle --- electrical vehicles --- EV charging scheduling --- binary linear programming --- binary quadratic programming --- vehicle control --- reinforcement learning --- curriculum learning --- sim-to-real world --- intelligent mobility --- heterogeneous vehicular communication --- Internet of connected vehicles --- vehicular ad hoc networks --- heterogeneous networking --- Internet of Things --- n/a --- noninverting buck-boost converter

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Know how to program the Microsoft Kinect and use the device for applications that interact directly with humans through gestures and motion. This book covers the mathematics and theoretical background needed for depth sensing, motion tracking, and object recognition while maintaining a practical focus on getting things done. You will learn to track the human body in three-dimensional space, analyze the human motion, and remove the background to isolate the person being tracked. You will see how to recognize objects and voice, and transform between the three-dimensional physical space and a computer’s two-dimensional screen. The book is written with real-world applications in mind. It provides step-by-step tutorials and source code for common use cases. The author has worked with startups and Fortune 500 companies, and all of the examples are taken directly from the industry. The book’s practical focus simplifies the core principles, removes the clutter, and allows developers to start writing code right away. Also covered is the use of Azure Cognitive Services on Microsoft’s cloud platform and their use for object and voice recognition, enabling your applications to “see” objects and respond to their environment. What You Will Learn Visualize color, depth, and body data Calculate angles between different body joints Analyze human motion and create fitness applications Recognize objects and voice using cloud-powered artificial intelligence Remove the background from a scene to create virtual worlds.

Microsoft Azure (Computing platform) --- Kinect (Programmable controller) --- Computer vision. --- Human activity recognition --- Data processing. --- Microsoft .NET Framework. --- Activity recognition, Human --- Activity inferencing, Human --- Automatic recognition of human activity --- Human activity inferencing --- Recognition of human activity, Automatic --- Pattern recognition systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Windows Azure (Computing platform) --- Computing platforms --- Computer input-output equipment --- Detectors --- Programmable controllers --- Dot Net (Software framework) --- Microsoft .NET --- Microsoft .NET software framework --- .NET Framework --- Microsoft software. --- Cloud Computing. --- Microsoft. --- Computer Vision. --- Electronic data processing --- Web services --- Computer software --- Distributed processing