ar drone 2 angle emergency
Fly and record in HD, Soar high with the new Parrot AR Drone 2.0 Elite Edition Quadcopter, Parrot’s next generation quadcopter, thanks to its intuitive Smartphone and tablet control. You’ll never be closer to flying as you view the earth from high above in high definition and directly share your experience online with the world.Drone 2.0 is Controlled with your Smartphone (iPhone®, iPod® Touch, Android™ 2.2 and above) or tablet (iPad™ or Android™) for an intuitive piloting experience. Your movements command the direction of the AR.Drone 2.0 after you download AR. Free Flight 2.0 control application for free on the App Store or the Google Play. Simply tilt your Smartphone or tablet to pilot the AR. Includes several control modes from beginner to expert including the new patented “Absolute Control” mode and you can be a flying ace in 5 minutes! Access the new exclusive acrobatic flip move, letting you perform barrel rolls as you are flying! Record and share videos on YouTube and pictures on Picasa directly from the piloting interface.
USB key recording option. Store and share your flight data (time, speed, altitude) to unlock community achievements*. Geo-locate your flights and connect with a community of pilots to discover the best flying spots and videos from all over the world or check who is flying in your neighborhood. Get high definition live video streaming to your Smartphone or tablet as you are flying. See a clean, sharp image just as if you were in the pilot seat. Wide angle lens : 92° diagonal Video storage on the fly with Wi-Fi directly on your remote device or on a USB Key H264 encoding base profile Traveling, Pan, Crane predefined autopilot modes for video recording Trying your most daring tricks won’t even challenge this cutting edge design which is made to last. Foam to isolate the inertial center from the engines’ vibrations Expanded Polypropylene (EPP) hulls Carbon fiber tubes : Total weight 380g with outdoor hull, 420g with indoor hull High grade 30% fiber charged nylon plastic parts
60 fps vertical QVGA camera for ground speed measurement 3 axis magnetometer 6° precision Ultrasound sensors for ground altitude measurement USB 2.0 high speed for extensionsFar away from the ground. 3 elements 1.000 mA/H LiPo rechargeable battery Specific high propelled drag for great maneuverability
storm drone 6 preço 8 MIPS AVR CPU per motor controller 4 brushless inrunner motors. 14.5 watt and 28 500 rpm when hovering Tempered steel propeller shafts Low noise Nylatron gears for 8.625 propeller reductor Emergency stop controlled by software Fully reprogrammable motor controller Water resistant motor’s electronic controller Each individual product is supplied attractively packaged in its own specially designed printed carton with a distinctive indoor and outdoor hull, plus one pair of black propellers and another customized pair of propellers to compliment the color scheme.
The exclusive Elite Edition packaging includes one 1000mAh lithium polymer battery to provide up to twelve minutes of flying time, plus a convenient battery charger with international adapters. Featuring a high definition camera with a video recording facility, plus flight data sharing, a patented piloting mode, and an innovative pressure sensor for increased stability at any altitude, Parrot’s amazing AR. Drone 2.0 Elite Edition quadricopter can even perform four axis flips on command. Big Three Want A Part Of The Drone Pie Walkera Scout X4 FPV RC QuadcopterOne of the toys that the Computing Club has to play with is an AR.This is a pre-built WiFi-enabled quadrocopter manufactured by Parrot. There are official iOS and Android applications for remotely controlling the quadrocopter. Drone also streams a live video feed from its onboard camera to the controller. Flying the drone around from an app is fun enough, but where things get really interesting for the Computing Club is programming it to do things!
Over the last few months undergraduates have been tinkering with the drone, making it do various things using the open-source javadrone API. Kirill Sidorov and I, organisers of the Computing Club this academic year, were asked to prepare a demo for an upcoming School of Computer Science & Informatics Open Day. The aim of these open days is to enthuse A-Level students who are considering study in Computer Science. We needed something that was interactive and fun, but also allowed us to highlight some of the concepts of computer science and what makes it interesting. We decided on a motion-tracking AR.We'd use the on-board camera to have the drone follow an individual holding a target. There's some neat computer science here – control and computer vision in particular – and it also demonstrates the power using software to program real-world devices. Furthermore, it also meant we could build on the work done by Computing Club students and bring them in to chat to visitors at the Open Day.
Conveniently, a few days before the the first Open Day (17 April) was the two-day "Open Sauce" Hackathon. Kirill and I were attending anyway to help with the student-organised event, so we took advantage of the fruitful combination of hackathon ambience, energy drinks, and free food to build the demo over those two days. The repository is hosted on GitHub. The original output from the Hackathon is in this branch (warning: gnarled, hackathon-quality code). This was tweaked and (slightly) refactored over the following days in preparation for the Open Day, resulting in this. The target we used during the hackathon was a ping-pong paddle wrapped in an A4 sheet of paper coloured with pink highlighter. In hindsight, the lighting conditions of the venue were very consistent, making it a favourable test environment. Kirill prototyped some image-by-image video processing to extract the target in MATLAB, and then translated to native Java. I handled the interaction with the AR.Drone and control loop.
We also implemented a fairly crude but useful GUI to view the raw and processed image streams, debug some control parameters, and initiate take-off and landing (emergency, typically). The javadrone API made controlling the drone straightforward, and even allowed us to implement some nifty features like changing the drone's LED colours when the target is lost. The image component outputs the location (a pixel coordinate) and extent (a measure proportional to the target's size in view) of the target in the camera's view. This information is used to handle our three control variables: We didn't have much time to fully explore the handling of the drone with respect to these control variables, but experimenting with a few simple linear controllers and a PID or two resulted in decent tracking, as undergraduate George Sale demonstrates in this video: (As shown in the video, as well as this other one, pretty much every flight ended up with a haywire drone and me initiating a forced landing.)
That was the hackathon; the Open Day proved much more challenging. In our hackathon experiments, the specificity of our target detection was excellent. Specificity was our primary concern, since a false-positive target detection puts bystanders wearing unfortunately coloured clothing on the receiving end of multi-bladed drone fury. The Open Day venue had very uneven lighting, with patchy artificial lights, and a large window in one corner that would temporarily flood the camera depending on the drone's angle. This caused the colour profile of the paddle to change drastically depending on the angle of the drone, the location of the target, and the location of the drone. To deal with this, our first trick was to change the target. Significant variation in light reflection between dimly lit and brightly lit areas meant large changes in the target's brightness and hue. By switching to a backlit target we could ensure fairly consistent brightness, irrespective of ambient light. Using a bike light, a home-made filter (highlighted A4 paper), a diffuser (coffee filter paper), and filter assembly (polystyrene cup), we hacked together the following target: