• Drone Programming with Scratch (MIT)

    Scratch programming is easy -- Drone programming is not. Learn to program Drones easily with Scratch using a Scratch Extension developed by Camp K12. Anshul from Camp K12 shows you how to program drones to fly around a room and even do front-flips using just a few lines of Scratch code. Scratch Extension available on GitHub at: https://github.com/campk12/ScratchForARDrone Learn more about Camp K12 at: http://campk12.com

    published: 19 Aug 2015
  • Building Arduino quadcopter 30 min flight time + code and schematics

    How to make a home made DIY Arduino based quadcopter. Link to Arduino code + schematics: https://www.dropbox.com/sh/qcfd27buc7o9ep0/AAAjgNwChewsASVR9SUxpiUXa?dl=0 ------------------------------ Parts: Motors: 4x FC 28-22 (1200kv) ESC: 4x Hobbyking SS Series 15-18A ESC Battery: 2x ZIPPY Compact 3700mAh 3S 25C Props: 4x 10x4.5 SF Props 2CW+2CCW Radio-controller: Hobby King 2.4Ghz 6Ch V2

    published: 22 Apr 2015
  • Programming Drones with Simulink

    Overview In this webinar, you will learn how Simulink® lets you design and deploy flight controllers for a palm-sized quadcopter using the Simulink Support Package for PARROT­­® Minidrones. It will describe the quadcopter platform used, the sensors and algorithms needed to make it work, and how the Support Package and Simulink add-on tools enable a complete Model-Based Design workflow from modeling and simulation to flight. The workflow can help quickly iterate on flight controller designs before deploying and testing on hardware. Professors, lecturers and trainers can use this webinar and its approach in the classroom to teach control systems to undergraduate and graduate students in engineering. Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: ...

    published: 12 Mar 2018
  • ArDrone like Quadrotor Gazebo Simulation - Detecting ArUco Code using ROS-OpenCV

    ArDrone like Quadrotor Gazebo Simulation - Detecting ArUco Code using ROS-OpenCV

    published: 21 Dec 2017
  • Drone Coder 2015

    Power the Quadcopter Our new launch Level 4 coding camp for summer2015. Includes setting up a JavaScript server, network communication between drone and server, and then onto advance drone coding (take-off, landing, anti-collision, hovering and so on) ending with drone navigation via the on-board camera. You have to see it to believe it!

    published: 05 Apr 2016
  • How to Implement Deep Learning Applications for NVIDIA GPUs with GPU Coder

    GPU Coder™ generates readable and portable CUDA® code that leverages CUDA libraries like cuBLAS and cuDNN from the MATLAB® algorithm, which is then cross-compiled and deployed to NVIDIA® GPUs from the Tesla® to the embedded Jetson™ platform. Learn more about GPU Coder: https://goo.gl/iur976 Download a free Deep Learning ebook: https://goo.gl/2u1M99 The first part of this talk describes how MATLAB is used to design and prototype end-to-end systems that include a deep learning network augmented with computer vision algorithms. You’ll learn about the affordances in MATLAB to access and manage large data sets, as well as pretrained models to quickly get started with deep learning design. Then, you’ll see how distributed and GPU computing capabilities integrated with MATLAB are employed during...

    published: 10 Jan 2018
  • Embedded Programming for Quadcopters

    Share, Support, Subscribe!!! website: https://codersfield.com E-mail: codersfield@gmail.com Twitter: https://twitter.com/codersfield Facebook: https://www.facebook.com/codersfield7/ Instagram: https://www.instagram.com/codersfield LinkedIn : https://www.linkedin.com/company/13372810/ Google Plus: https://plus.google.com/u/0/103417976075577606052 About : Coders Field is a YouTube Channel, where you will find Information Technology related videos, New Video is Posted Everyday Sunday :) Ryan Boland on Embedded Programming for Quadcopters Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying. We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still ful...

    published: 13 Feb 2018
  • Drone Coding Skills with Skill Supply

    Fantastic teamworking and engineering sessions using Parrot Minidrones and Tynker to program them with code to overcome challenges. Highly engaging active learning brought to you through support from the Institution of Engineering & Technology and the Institution of Mechanical Engineers. Contact us through www.skillsupply.co.uk

    published: 27 Feb 2017
  • Learn Coding With DRONES in Swift Playgrounds | Drone Programming

    Apple just released Swift Playgrounds 1.5, expands coding education to robots and drones. In the video we explore this functionality, and learn programming using Swift Playgrounds and the Parrot Mambo Drone. Using the Drones in Swift Playgrounds, anyone can learn programming easily while having heaps of fun. https://www.apple.com/newsroom/2017/06/swift-playgrounds-expands-coding-education-to-robots-drones-and-musical-instruments/ www.kodkompis.com https://www.tynker.com/support/drone ---------------------------------------- Steemit: https://www.steemit.com/@oscaralsing Support me on Patreon: http://patreon.com/oscaralsing Discord Community: https://discord.gg/rMjmwYq Slack Community: https://join.slack.com/t/oscaralsingcommunity/shared_invite/enQtMzA1NTIyNTgxMTI0LWQ2YmFiZTM5MWE5NDcx...

    published: 05 Jun 2017
  • How To Code To Fly With Airblock Drone

    In this video, you can learn how to code an Airblock drone. Will be on Kickstarter soon: http://www.makeblock.com/airblock We need to hear your voice! @makeblock on social networks.

    published: 12 Oct 2016
  • Unboxing & Let's Play - LUMI - Gaming Drone -Quadcopter by WowWee -

    Today we unbox Lumi! A new gaming drone from WowWee, the same company that brought us the amazing Chip and MiP. This drone that is so easy to control, anyone can fly it! Instead of concentrating on keeping Lumi airborne, you can focus on playing fun games or creating your own custom air show. Lumi features one-touch tricks and stablilizes itself in auto-pilot mode, leaving your hands free to play app-based games that let you interact with Lumi in the air. Walk away with the included beacon and Lumi will follow you, while avoiding both objects and walls Learn more by going here: http://wowwee.com/lumi

    published: 10 Jan 2017
  • C++ Class Modeling and Code Generation with Simulink and Embedded Coder - Coder Summit 2018

    Recent advances in Simulink® and Embedded Coder® let you model classes and generate C++ code. Object-oriented design and realization is critical for services-oriented architecure and middleware including Adaptive AUTOSAR and DDS. Learn more about embedded system solutions: https://goo.gl/kCqw3F Multi-instance Simulink functions are a natural way to model classes. Various levels of scoping have been added to Simulink functions over recent releases. However, traditional modeling methods such as rate-based, function export can also be used now to model and generate C++ classes with public and private members. Learn more about Embedded Coder: https://goo.gl/4uLCr2 This presentation is from Coder Summit Talks, which are live recordings of developers and engineers debuting their best MATLAB...

    published: 12 Apr 2018
  • Simulating Quadcopter Missions - MATLAB and Simulink Robotics Arena

    Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe To design algorithms for quadcopters missions for student competitions, Julien Cassette joins Connell D'Souza to demonstrate the use of simulation. Simulation is a cost-effective tool to begin prototyping and designing controllers and algorithms. A simulation model consists of three parts, a plant model of the quadcopter, a controller, and an environment. Julien uses Gazebo to model the plant and the environment and Simulink® to design the controller. Robotics System Toolbox™ provides an interface between MATLAB® and Simulink and the Robotics Operating System (ROS). The controller...

    published: 09 Jan 2018
  • Episode 5: Coders on Couches Drinking Coffee - Drones

    Grab a coffee and chat with Steve and Dean about why drones are revolutionizing the industry, how they’re being used commercially and recreationally, and what it’s like to plan the drone mission cycle. Blog: https://blog.safe.com/2017/07/how-to-get-started-with-drones/?utm_source=youtube&utm_medium=video&utm_campaign=drones Renato at the FME UC: https://www.safe.com/presentation/uavs-and-fme-powering-your-drone-and-data-with-fme/?utm_source=youtube&utm_medium=video&utm_campaign=drones For recreational use apply for a free FME Home License: https://www.safe.com/fme/fme-desktop/home-use-license/?utm_source=youtube&utm_medium=video&utm_campaign=drones

    published: 14 Aug 2017
  • Introduction to Simulink Hardware Support for PARROT Minidrones - Minidrone Tutorial

    PARROT Minidrones Support from Simulink: https://goo.gl/G6r96V Simulink® Support Package for PARROT® Minidrones lets you build and deploy flight control algorithms on PARROT minidrones. You can deploy algorithms wirelessly over Bluetooth®. The algorithms can access onboard sensors—such as the ultrasonic, accelerometer, gyroscope, and air pressure sensors—as well as the downward facing camera. With PARROT minidrones support from Simulink, you can learn how these sensors are combined with optical flow and computer vision algorithms to make drones fly. You can also learn how to do it in hours instead of days or weeks, and without having to write a single line of C code.

    published: 21 Feb 2018
  • STM32F4 Quadcopter Test

    Este video muestra el test de un quadcoptero desarrollado con el kit STM32F4 Discovery y su interfaz de control basada en PC mediando un programa escrito en SDL. Este proyecto esta en desarrollo y como verán todas las partes tanto software como hardware son de producción propia. Sigo trabajando en él!!!

    published: 07 Dec 2014
  • Tomahawk Attack on the Ranch

    While taking a morning walk around Demolition Ranch, I found two escaped convicts. Obviously a fight to the death ensued... Special thanks to SOG for the support! http://www.sogknives.com/ https://www.facebook.com/SOGKnivesAndTools Demolition Ranch Apparel http://ambitiouscustomprinting.com/collections/demolitionranch Follow us at http://www.facebook.com/DemolitionRanch Intro made by http://www.youtube.com/autodidactdystopia Intro music is called "Club Diver" by Kevin MacLeod from incompetech.com. Outro music is from machinimasound.com

    published: 17 Jan 2015
  • Ultimate Zombie Shotgun

    Every serious zombie apocalypse prepper needs one of these ASAP!!! You can choose ANY audiobook totally FREE and it helps support Demolition Ranch!!! http://www.audible.com/demoranch http://www.facebook.com/DemolitionRanch https://instagram.com/demolition_ranch/ MDK "Pheonix" Rocket Pimp Remix https://www.youtube.com/watch?v=0fOwn13jL6Q "Club Diver" by Kevin MacLeod from incompetech.com. Outro music by MDK, https://www.youtube.com/watch?v=2_t5Lm040Gw

    published: 15 Aug 2015
  • ADAS Design, Simulation, and Code Generation with Simulink - Coder Summit 2018

    Simulink®, Automated Driving System Toolbox™, and Embedded Coder® let you design, simulate, and generate C++ code for automated driving and ADAS systems. You can use Simulink to design complex system models such as adaptive cruise control with sensor fusion, that include model predictive control, multi-object tracking, radar and vision, and visualize results using bird's-eye plots. Learn more about embedded system solutions: https://goo.gl/kCqw3F Embedded Coder generates code from ADAS systems that can be used on desktop or in embedded processors. The designs can include model predictive control components. You can verify the code using Software-in-the-Loop testing using your system simulation model as a test harness. Learn more about Embedded Coder: https://goo.gl/4uLCr2 Automated Dri...

    published: 11 Apr 2018
  • Parrot AR.Drone 2.0 test, a remote controlled flying quadcopter helicopter elite edition

    Parrot AR.Drone is a remote controlled flying quadcopter helicopter built by the French company Parrot. The drone is designed to be controlled by mobile or tablet operating systems such as the supported iOS or Android within their respective apps or the unofficial software available for Windows Phone, Samsung BADA and Symbian devices Version 2.0 AR.Drone 2.0 in flight with outdoor hull AR.Drone 2.0 in flight with indoor hull The successor to the original drone, the AR.Drone 2.0 was unveiled at CES Las Vegas 2012. Rather than redesigning the product, improvements were made to its functionality, along with developing a larger ecosystem to support pilots. The equipment on board AR.Drone 2.0 was significantly upgraded to improve the drone's function. The camera quality was increased to 720p, a...

    published: 26 Nov 2016
  • Deploying Simulink model to Parrot AR Drone 2.0 quadrotor

    Using MATLAB r2014a and an unofficial support package, this short video shows deploying a Simulink model to an AR Drone 2.0. The C code for the Kalman filter and control algorithm is generated and compiled with a Cortex-A enabled toolchain, then the executable is loaded onto the drone using wifi, then executed while keeping a network connection enabling the view of signals and states and adjusting parameters in quasi real time. Control loop turning at 400 Hz.

    published: 09 Oct 2014
  • Quadcopter Multiwii (Pre Release) 1.9

    QuadCopter X with Multiwii (last Dev) 1.9. All the issues with ACC now gone! At this time I´m a happy pilot. Thanks to genious like Alex and Ziss_DM and more it´s know possible to have a perfect inexpensive UAV flying equaly to the most expensives on the market. Many thanks to all coders. Lotus T580 - Frame, Motors (600KV) and Props (12x6); Paris board V4 - original WMP / NK; Hobby Wing FLY FUN 18A ESC´s; 3S 2200mah 20c; 12min flight´s (without FPV gear); FPV flight max. 9min and the flying weight is 1.455kg

    published: 31 Oct 2011
  • Quadcopter (STM32F4 discovery)

    Hardware: - STM32F4 discovery - gyroscope - L3G4200D - accelerometer + magnetometer - LSM303D - motors - emax MT2216 - ESC - emax BLHeli 20A - propellers - 11x4,7 carbon - frame - Tarot Iron Man 650 Software: - sensor fusion - median filter + low pass filter + complementary filter - 400Hz PID

    published: 09 Oct 2015
  • Quadcopter : ESC Turnigy / STM32F4DISCOVERY

    code source : https://github.com/NabilChouba/PMW-ESC-Turingy---STM32F4DISCOVRY/ first step is : How to Make a Motor Spin need to PWM signal with 50Mhz frequency for the first 4 second duty cycle period is 1ms (mean motor is off) to disarm the ESC (Electric Speed Controllers) next increase the duty cycle period to 1.1ms (max is 2ms) to make the motor spin

    published: 12 Sep 2013
developed with YouTube
Drone Programming with Scratch (MIT)
9:18

Drone Programming with Scratch (MIT)

  • Order:
  • Duration: 9:18
  • Updated: 19 Aug 2015
  • views: 50957
videos
Scratch programming is easy -- Drone programming is not. Learn to program Drones easily with Scratch using a Scratch Extension developed by Camp K12. Anshul from Camp K12 shows you how to program drones to fly around a room and even do front-flips using just a few lines of Scratch code. Scratch Extension available on GitHub at: https://github.com/campk12/ScratchForARDrone Learn more about Camp K12 at: http://campk12.com
https://wn.com/Drone_Programming_With_Scratch_(Mit)
Building Arduino quadcopter 30 min flight time + code and schematics
2:17

Building Arduino quadcopter 30 min flight time + code and schematics

  • Order:
  • Duration: 2:17
  • Updated: 22 Apr 2015
  • views: 360726
videos
How to make a home made DIY Arduino based quadcopter. Link to Arduino code + schematics: https://www.dropbox.com/sh/qcfd27buc7o9ep0/AAAjgNwChewsASVR9SUxpiUXa?dl=0 ------------------------------ Parts: Motors: 4x FC 28-22 (1200kv) ESC: 4x Hobbyking SS Series 15-18A ESC Battery: 2x ZIPPY Compact 3700mAh 3S 25C Props: 4x 10x4.5 SF Props 2CW+2CCW Radio-controller: Hobby King 2.4Ghz 6Ch V2
https://wn.com/Building_Arduino_Quadcopter_30_Min_Flight_Time_Code_And_Schematics
Programming Drones with Simulink
33:50

Programming Drones with Simulink

  • Order:
  • Duration: 33:50
  • Updated: 12 Mar 2018
  • views: 1408
videos
Overview In this webinar, you will learn how Simulink® lets you design and deploy flight controllers for a palm-sized quadcopter using the Simulink Support Package for PARROT­­® Minidrones. It will describe the quadcopter platform used, the sensors and algorithms needed to make it work, and how the Support Package and Simulink add-on tools enable a complete Model-Based Design workflow from modeling and simulation to flight. The workflow can help quickly iterate on flight controller designs before deploying and testing on hardware. Professors, lecturers and trainers can use this webinar and its approach in the classroom to teach control systems to undergraduate and graduate students in engineering. Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe Highlights Learn to program a low-cost, palm-sized, and reliable minidrone Learn about Model-Based Design – from modeling to hardware deployment Use Aerospace Blockset™ [https://goo.gl/1ytJyX] to get up and running in minutes Use Simulink Coder™ [https://goo.gl/KyyWfq] to log flight data and access the autogenerated C code
https://wn.com/Programming_Drones_With_Simulink
ArDrone like Quadrotor Gazebo Simulation - Detecting ArUco Code using ROS-OpenCV
5:07

ArDrone like Quadrotor Gazebo Simulation - Detecting ArUco Code using ROS-OpenCV

  • Order:
  • Duration: 5:07
  • Updated: 21 Dec 2017
  • views: 52
videos
ArDrone like Quadrotor Gazebo Simulation - Detecting ArUco Code using ROS-OpenCV
https://wn.com/Ardrone_Like_Quadrotor_Gazebo_Simulation_Detecting_Aruco_Code_Using_Ros_Opencv
Drone Coder 2015
2:19

Drone Coder 2015

  • Order:
  • Duration: 2:19
  • Updated: 05 Apr 2016
  • views: 475
videos
Power the Quadcopter Our new launch Level 4 coding camp for summer2015. Includes setting up a JavaScript server, network communication between drone and server, and then onto advance drone coding (take-off, landing, anti-collision, hovering and so on) ending with drone navigation via the on-board camera. You have to see it to believe it!
https://wn.com/Drone_Coder_2015
How to Implement Deep Learning Applications for NVIDIA GPUs with GPU Coder
41:17

How to Implement Deep Learning Applications for NVIDIA GPUs with GPU Coder

  • Order:
  • Duration: 41:17
  • Updated: 10 Jan 2018
  • views: 1071
videos
GPU Coder™ generates readable and portable CUDA® code that leverages CUDA libraries like cuBLAS and cuDNN from the MATLAB® algorithm, which is then cross-compiled and deployed to NVIDIA® GPUs from the Tesla® to the embedded Jetson™ platform. Learn more about GPU Coder: https://goo.gl/iur976 Download a free Deep Learning ebook: https://goo.gl/2u1M99 The first part of this talk describes how MATLAB is used to design and prototype end-to-end systems that include a deep learning network augmented with computer vision algorithms. You’ll learn about the affordances in MATLAB to access and manage large data sets, as well as pretrained models to quickly get started with deep learning design. Then, you’ll see how distributed and GPU computing capabilities integrated with MATLAB are employed during training, debugging, and verification of the network. Finally, most end-to-end systems need more than just classification: Data needs to be pre- and post-processed before and after classification. The results are often inputs to a downstream control system. These traditional computer vision and control algorithms, written in MATLAB, are used to interface with the deep learning network to build up the end-to-end system. The second part of this talk focuses on the embedded deployment phase. Using representative examples from automated driving to illustrate the entire workflow, see how GPU Coder automatically analyzes your MATLAB algorithm to (a) partition the MATLAB algorithm between CPU/GPU execution; (b) infer memory dependencies; (c) allocate to the GPU memory hierarchy (including global, local, shared, and constant memories); (d) minimize data transfers and device-synchronizations between CPU and GPU; and (e) finally generate CUDA code that leverages optimized CUDA libraries like cuBLAS and cuDNN to deliver high-performance. Finally, you’ll see that the generated code is highly optimized with benchmarks that show that deep learning inference performance of the auto-generated CUDA code is ~2.5x faster for mxNet, ~5x faster for Caffe2, and ~7x faster for TensorFlow®. Watch this talk to learn how to: 1. Access and manage large image sets 2. Visualize networks and gain insight into the training process 3. Import reference networks such as AlexNet and GoogLeNet 4. Automatically generate portable and optimized CUDA code from the MATLAB algorithm
https://wn.com/How_To_Implement_Deep_Learning_Applications_For_Nvidia_Gpus_With_Gpu_Coder
Embedded Programming for Quadcopters
53:37

Embedded Programming for Quadcopters

  • Order:
  • Duration: 53:37
  • Updated: 13 Feb 2018
  • views: 8
videos
Share, Support, Subscribe!!! website: https://codersfield.com E-mail: codersfield@gmail.com Twitter: https://twitter.com/codersfield Facebook: https://www.facebook.com/codersfield7/ Instagram: https://www.instagram.com/codersfield LinkedIn : https://www.linkedin.com/company/13372810/ Google Plus: https://plus.google.com/u/0/103417976075577606052 About : Coders Field is a YouTube Channel, where you will find Information Technology related videos, New Video is Posted Everyday Sunday :) Ryan Boland on Embedded Programming for Quadcopters Ryan tells us how he built a drone from scratch, including which components you'll need and how the code works to keep the copter flying. We lost audio for 2 minutes. It was cut out, but if anything isn't clear because of this, we're sorry. It's still full of great information. slides: https://www.slideshare.net/ryanboland18/quad-stripped
https://wn.com/Embedded_Programming_For_Quadcopters
Drone Coding Skills with Skill Supply
3:30

Drone Coding Skills with Skill Supply

  • Order:
  • Duration: 3:30
  • Updated: 27 Feb 2017
  • views: 785
videos
Fantastic teamworking and engineering sessions using Parrot Minidrones and Tynker to program them with code to overcome challenges. Highly engaging active learning brought to you through support from the Institution of Engineering & Technology and the Institution of Mechanical Engineers. Contact us through www.skillsupply.co.uk
https://wn.com/Drone_Coding_Skills_With_Skill_Supply
Learn Coding With DRONES in Swift Playgrounds | Drone Programming
17:42

Learn Coding With DRONES in Swift Playgrounds | Drone Programming

  • Order:
  • Duration: 17:42
  • Updated: 05 Jun 2017
  • views: 9342
videos
Apple just released Swift Playgrounds 1.5, expands coding education to robots and drones. In the video we explore this functionality, and learn programming using Swift Playgrounds and the Parrot Mambo Drone. Using the Drones in Swift Playgrounds, anyone can learn programming easily while having heaps of fun. https://www.apple.com/newsroom/2017/06/swift-playgrounds-expands-coding-education-to-robots-drones-and-musical-instruments/ www.kodkompis.com https://www.tynker.com/support/drone ---------------------------------------- Steemit: https://www.steemit.com/@oscaralsing Support me on Patreon: http://patreon.com/oscaralsing Discord Community: https://discord.gg/rMjmwYq Slack Community: https://join.slack.com/t/oscaralsingcommunity/shared_invite/enQtMzA1NTIyNTgxMTI0LWQ2YmFiZTM5MWE5NDcxYmY0OGU5ZWM3Y2VmMWI1N2RjNjQzYTdlMzNkNmNlYzI2YzU4OTUyYmM0OGMwZDlkYjE Linkedin: https://www.linkedin.com/in/oscaralsing/ Facebook: https://www.facebook.com/oscaralsingcom Instagram: https://www.instagram.com/oscaralsing/ Website: http://www.oscaralsing.com Music: www.bensound.com
https://wn.com/Learn_Coding_With_Drones_In_Swift_Playgrounds_|_Drone_Programming
How To Code To Fly With Airblock Drone
1:04

How To Code To Fly With Airblock Drone

  • Order:
  • Duration: 1:04
  • Updated: 12 Oct 2016
  • views: 8593
videos
In this video, you can learn how to code an Airblock drone. Will be on Kickstarter soon: http://www.makeblock.com/airblock We need to hear your voice! @makeblock on social networks.
https://wn.com/How_To_Code_To_Fly_With_Airblock_Drone
Unboxing & Let's Play - LUMI - Gaming Drone -Quadcopter by WowWee -
9:55

Unboxing & Let's Play - LUMI - Gaming Drone -Quadcopter by WowWee -

  • Order:
  • Duration: 9:55
  • Updated: 10 Jan 2017
  • views: 15266
videos
Today we unbox Lumi! A new gaming drone from WowWee, the same company that brought us the amazing Chip and MiP. This drone that is so easy to control, anyone can fly it! Instead of concentrating on keeping Lumi airborne, you can focus on playing fun games or creating your own custom air show. Lumi features one-touch tricks and stablilizes itself in auto-pilot mode, leaving your hands free to play app-based games that let you interact with Lumi in the air. Walk away with the included beacon and Lumi will follow you, while avoiding both objects and walls Learn more by going here: http://wowwee.com/lumi
https://wn.com/Unboxing_Let's_Play_Lumi_Gaming_Drone_Quadcopter_By_Wowwee
C++ Class Modeling and Code Generation with Simulink and Embedded Coder - Coder Summit 2018
3:44

C++ Class Modeling and Code Generation with Simulink and Embedded Coder - Coder Summit 2018

  • Order:
  • Duration: 3:44
  • Updated: 12 Apr 2018
  • views: 648
videos
Recent advances in Simulink® and Embedded Coder® let you model classes and generate C++ code. Object-oriented design and realization is critical for services-oriented architecure and middleware including Adaptive AUTOSAR and DDS. Learn more about embedded system solutions: https://goo.gl/kCqw3F Multi-instance Simulink functions are a natural way to model classes. Various levels of scoping have been added to Simulink functions over recent releases. However, traditional modeling methods such as rate-based, function export can also be used now to model and generate C++ classes with public and private members. Learn more about Embedded Coder: https://goo.gl/4uLCr2 This presentation is from Coder Summit Talks, which are live recordings of developers and engineers debuting their best MATLAB® and Simulink coder optimizations and examples at an annual technical interchange. Try the Production Code Generation Evaluation Kit: https://goo.gl/pC8zgk © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
https://wn.com/C_Class_Modeling_And_Code_Generation_With_Simulink_And_Embedded_Coder_Coder_Summit_2018
Simulating Quadcopter Missions - MATLAB and Simulink Robotics Arena
18:27

Simulating Quadcopter Missions - MATLAB and Simulink Robotics Arena

  • Order:
  • Duration: 18:27
  • Updated: 09 Jan 2018
  • views: 1059
videos
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe To design algorithms for quadcopters missions for student competitions, Julien Cassette joins Connell D'Souza to demonstrate the use of simulation. Simulation is a cost-effective tool to begin prototyping and designing controllers and algorithms. A simulation model consists of three parts, a plant model of the quadcopter, a controller, and an environment. Julien uses Gazebo to model the plant and the environment and Simulink® to design the controller. Robotics System Toolbox™ provides an interface between MATLAB® and Simulink and the Robotics Operating System (ROS). The controller in Simulink sends velocity commands to the plant model in Gazebo via ROS messages. Gazebo is an open source physics engine that provides a realistic rendering of environments that can be customized along with sensor models that are required to simulate robotic operations. You can learn more about Gazebo’s features and see tutorials for getting started by visiting the Gazebo web page [https://goo.gl/nLu6Uj]. Download all the files in this demo from MATLAB Central File Exchange [https://goo.gl/pLJKrC].
https://wn.com/Simulating_Quadcopter_Missions_Matlab_And_Simulink_Robotics_Arena
Episode 5: Coders on Couches Drinking Coffee - Drones
3:40

Episode 5: Coders on Couches Drinking Coffee - Drones

  • Order:
  • Duration: 3:40
  • Updated: 14 Aug 2017
  • views: 439
videos
Grab a coffee and chat with Steve and Dean about why drones are revolutionizing the industry, how they’re being used commercially and recreationally, and what it’s like to plan the drone mission cycle. Blog: https://blog.safe.com/2017/07/how-to-get-started-with-drones/?utm_source=youtube&utm_medium=video&utm_campaign=drones Renato at the FME UC: https://www.safe.com/presentation/uavs-and-fme-powering-your-drone-and-data-with-fme/?utm_source=youtube&utm_medium=video&utm_campaign=drones For recreational use apply for a free FME Home License: https://www.safe.com/fme/fme-desktop/home-use-license/?utm_source=youtube&utm_medium=video&utm_campaign=drones
https://wn.com/Episode_5_Coders_On_Couches_Drinking_Coffee_Drones
Introduction to Simulink Hardware Support for PARROT Minidrones - Minidrone Tutorial
2:09

Introduction to Simulink Hardware Support for PARROT Minidrones - Minidrone Tutorial

  • Order:
  • Duration: 2:09
  • Updated: 21 Feb 2018
  • views: 936
videos
PARROT Minidrones Support from Simulink: https://goo.gl/G6r96V Simulink® Support Package for PARROT® Minidrones lets you build and deploy flight control algorithms on PARROT minidrones. You can deploy algorithms wirelessly over Bluetooth®. The algorithms can access onboard sensors—such as the ultrasonic, accelerometer, gyroscope, and air pressure sensors—as well as the downward facing camera. With PARROT minidrones support from Simulink, you can learn how these sensors are combined with optical flow and computer vision algorithms to make drones fly. You can also learn how to do it in hours instead of days or weeks, and without having to write a single line of C code.
https://wn.com/Introduction_To_Simulink_Hardware_Support_For_Parrot_Minidrones_Minidrone_Tutorial
STM32F4 Quadcopter Test
0:44

STM32F4 Quadcopter Test

  • Order:
  • Duration: 0:44
  • Updated: 07 Dec 2014
  • views: 4620
videos
Este video muestra el test de un quadcoptero desarrollado con el kit STM32F4 Discovery y su interfaz de control basada en PC mediando un programa escrito en SDL. Este proyecto esta en desarrollo y como verán todas las partes tanto software como hardware son de producción propia. Sigo trabajando en él!!!
https://wn.com/Stm32F4_Quadcopter_Test
Tomahawk Attack on the Ranch
8:12

Tomahawk Attack on the Ranch

  • Order:
  • Duration: 8:12
  • Updated: 17 Jan 2015
  • views: 2907025
videos
While taking a morning walk around Demolition Ranch, I found two escaped convicts. Obviously a fight to the death ensued... Special thanks to SOG for the support! http://www.sogknives.com/ https://www.facebook.com/SOGKnivesAndTools Demolition Ranch Apparel http://ambitiouscustomprinting.com/collections/demolitionranch Follow us at http://www.facebook.com/DemolitionRanch Intro made by http://www.youtube.com/autodidactdystopia Intro music is called "Club Diver" by Kevin MacLeod from incompetech.com. Outro music is from machinimasound.com
https://wn.com/Tomahawk_Attack_On_The_Ranch
Ultimate Zombie Shotgun
5:38

Ultimate Zombie Shotgun

  • Order:
  • Duration: 5:38
  • Updated: 15 Aug 2015
  • views: 3837911
videos
Every serious zombie apocalypse prepper needs one of these ASAP!!! You can choose ANY audiobook totally FREE and it helps support Demolition Ranch!!! http://www.audible.com/demoranch http://www.facebook.com/DemolitionRanch https://instagram.com/demolition_ranch/ MDK "Pheonix" Rocket Pimp Remix https://www.youtube.com/watch?v=0fOwn13jL6Q "Club Diver" by Kevin MacLeod from incompetech.com. Outro music by MDK, https://www.youtube.com/watch?v=2_t5Lm040Gw
https://wn.com/Ultimate_Zombie_Shotgun
ADAS Design, Simulation, and Code Generation with Simulink - Coder Summit 2018
2:54

ADAS Design, Simulation, and Code Generation with Simulink - Coder Summit 2018

  • Order:
  • Duration: 2:54
  • Updated: 11 Apr 2018
  • views: 435
videos
Simulink®, Automated Driving System Toolbox™, and Embedded Coder® let you design, simulate, and generate C++ code for automated driving and ADAS systems. You can use Simulink to design complex system models such as adaptive cruise control with sensor fusion, that include model predictive control, multi-object tracking, radar and vision, and visualize results using bird's-eye plots. Learn more about embedded system solutions: https://goo.gl/kCqw3F Embedded Coder generates code from ADAS systems that can be used on desktop or in embedded processors. The designs can include model predictive control components. You can verify the code using Software-in-the-Loop testing using your system simulation model as a test harness. Learn more about Embedded Coder: https://goo.gl/4uLCr2 Automated Driving System Toolbox let's you automate ground-truth labeling, generate synthetic sensor data for driving scenarios, perform multisensor fusion, and design and simulate vision systems. Try the Production Code Generation Evaluation Kit: https://goo.gl/pC8zgk This presentation is from Coder Summit Talks, which are live recordings of developers and engineers debuting their best MATLAB® and Simulink coder optimizations and examples at an annual technical interchange. © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
https://wn.com/Adas_Design,_Simulation,_And_Code_Generation_With_Simulink_Coder_Summit_2018
Parrot AR.Drone 2.0 test, a remote controlled flying quadcopter helicopter elite edition
11:17

Parrot AR.Drone 2.0 test, a remote controlled flying quadcopter helicopter elite edition

  • Order:
  • Duration: 11:17
  • Updated: 26 Nov 2016
  • views: 7278
videos
Parrot AR.Drone is a remote controlled flying quadcopter helicopter built by the French company Parrot. The drone is designed to be controlled by mobile or tablet operating systems such as the supported iOS or Android within their respective apps or the unofficial software available for Windows Phone, Samsung BADA and Symbian devices Version 2.0 AR.Drone 2.0 in flight with outdoor hull AR.Drone 2.0 in flight with indoor hull The successor to the original drone, the AR.Drone 2.0 was unveiled at CES Las Vegas 2012. Rather than redesigning the product, improvements were made to its functionality, along with developing a larger ecosystem to support pilots. The equipment on board AR.Drone 2.0 was significantly upgraded to improve the drone's function. The camera quality was increased to 720p, and many of the onboard sensors were made more sensitive, allowing for greater control. The ultrasound altimeter was enhanced with the addition of an air pressure sensor, allowing for more stable flight and hovering. The resources available to the onboard computer were also improved, and the Wi-Fi hardware was updated to follow the new 802.11n standard. Other sensor improvements included an upgraded 3-axis gyroscope, along with a 3-axis accelerometer and magnetometer. At CES 2013, Parrot announced the Flight Recorder add-on for the AR.Drone 2.0. It adds 4GB of storage to the drone, along with GPS tracking and flight data recording. It will allow pilots to define a flight path by selecting a series of waypoints that the drone will follow. Flight Recorder features can be controlled via mobile phone and desktop applications, with "Director Mode" and "Rescue Mode" included. An extended battery designed to increase flight time by up to 50% was also launched alongside the Flight Recorder. Technical Specifications Interfaces: USB and Wi-Fi 802.11n Front camera: 720p sensor with 93° lens, recording up to 30fps Vertical camera: QVGA sensor with 64° lens, recording up to 60fps Previously known as AR.Freeflight, provides piloting function for AR.Drones, and the ability to take photos and videos. AR.Drone was launched in 2010 alongside the original drone, and provides piloting capabilities via iOS devices. It allows pilots to record video or capture images from their drone's onboard cameras. When originally launched pilots could control drones by tilting their device, and data from the onboard accelerometer was converted into flight controls. On-screen controls provide joystick-style movement, and other functions that allow pilots to perform aerobatics, play games, or update their drone's firmware. The app also integrates with AR.Drone Academy, where pilots can map and share flight details with other AR.Drone users. AR.Drone is available on the Google Play store, where it has kept the name AR.Freeflight #AlexB #ABVideoStudio
https://wn.com/Parrot_Ar.Drone_2.0_Test,_A_Remote_Controlled_Flying_Quadcopter_Helicopter_Elite_Edition
Deploying Simulink model to Parrot AR Drone 2.0 quadrotor
1:10

Deploying Simulink model to Parrot AR Drone 2.0 quadrotor

  • Order:
  • Duration: 1:10
  • Updated: 09 Oct 2014
  • views: 5086
videos
Using MATLAB r2014a and an unofficial support package, this short video shows deploying a Simulink model to an AR Drone 2.0. The C code for the Kalman filter and control algorithm is generated and compiled with a Cortex-A enabled toolchain, then the executable is loaded onto the drone using wifi, then executed while keeping a network connection enabling the view of signals and states and adjusting parameters in quasi real time. Control loop turning at 400 Hz.
https://wn.com/Deploying_Simulink_Model_To_Parrot_Ar_Drone_2.0_Quadrotor
Quadcopter Multiwii (Pre Release) 1.9
3:49

Quadcopter Multiwii (Pre Release) 1.9

  • Order:
  • Duration: 3:49
  • Updated: 31 Oct 2011
  • views: 3227
videos
QuadCopter X with Multiwii (last Dev) 1.9. All the issues with ACC now gone! At this time I´m a happy pilot. Thanks to genious like Alex and Ziss_DM and more it´s know possible to have a perfect inexpensive UAV flying equaly to the most expensives on the market. Many thanks to all coders. Lotus T580 - Frame, Motors (600KV) and Props (12x6); Paris board V4 - original WMP / NK; Hobby Wing FLY FUN 18A ESC´s; 3S 2200mah 20c; 12min flight´s (without FPV gear); FPV flight max. 9min and the flying weight is 1.455kg
https://wn.com/Quadcopter_Multiwii_(Pre_Release)_1.9
Quadcopter (STM32F4 discovery)
1:54

Quadcopter (STM32F4 discovery)

  • Order:
  • Duration: 1:54
  • Updated: 09 Oct 2015
  • views: 1045
videos
Hardware: - STM32F4 discovery - gyroscope - L3G4200D - accelerometer + magnetometer - LSM303D - motors - emax MT2216 - ESC - emax BLHeli 20A - propellers - 11x4,7 carbon - frame - Tarot Iron Man 650 Software: - sensor fusion - median filter + low pass filter + complementary filter - 400Hz PID
https://wn.com/Quadcopter_(Stm32F4_Discovery)
Quadcopter : ESC Turnigy / STM32F4DISCOVERY
1:20

Quadcopter : ESC Turnigy / STM32F4DISCOVERY

  • Order:
  • Duration: 1:20
  • Updated: 12 Sep 2013
  • views: 1810
videos
code source : https://github.com/NabilChouba/PMW-ESC-Turingy---STM32F4DISCOVRY/ first step is : How to Make a Motor Spin need to PWM signal with 50Mhz frequency for the first 4 second duty cycle period is 1ms (mean motor is off) to disarm the ESC (Electric Speed Controllers) next increase the duty cycle period to 1.1ms (max is 2ms) to make the motor spin
https://wn.com/Quadcopter_Esc_Turnigy_Stm32F4Discovery