Project

# Title Team Members TA Documents Sponsor
47 Virtual Cycling Reality (VCR)
Area Award: Entertainment
Bryant Johnson
Chongxin Luo
Gregory Knox
Luke Wendt design_document0.pdf
final_paper0.pdf
other0.pptx
other0.pdf
presentation0.pptx
proposal0.pdf
video
Our group project is to create an immersive virtual reality biking experience. We hope that our design will appeal to individuals who enjoy biking, but are unable to travel and experience biking in exotic locations and also encourage a healthier lifestyle.

The project involves integrating sensors onto a bike that rests on a stationary indoor bike stand. There will be sensors on the bike to collect information on the motions and actions. The capabilities that we seek to implement, are as following:
- IR sensors mounted on the rear wheel, with eight IR reflecting tapes installed on the wheel spokes equidistantly. The frequency of the IR signal spikes will be used to calculate the speed of the bike, the change in frequency giving us acceleration and deceleration.
- Motion sensors mounted on the stem of the bike, which are used to detect any physical turning of the bike handles and then enact the turn in the simulation. The handles will be disconnected from the front wheel, and the front wheel will be held stationary on the ground.
A physical damping system will be added on the rear wheel which is controlled by a microprocessor. The damping will be adjusted according to the environment in the virtual reality.
A fan will be physically mounted in front of user, the speed of the fan will be controlled by the speed of bike, which gives a realistic biking experience to the user.

In case we are unable to obtain an Oculus Rift DK2, the software implementation will be done without the support of DK2. The demo can be done by showing the experience on a computer screen, which will have less of an immersive experience, but all the concepts will still apply.

Team

Bryant Johnson (bhjhnsn2)
Gregory Knox (gaknox2)
Chongxin Luo (cluo5)

Cloud-controlled quadcopter

Anuraag Vankayala, Amrutha Vasili

Cloud-controlled quadcopter

Featured Project

Idea:

To build a GPS-assisted, cloud-controlled quadcopter, for consumer-friendly aerial photography.

Design/Build:

We will be building a quad from the frame up. The four motors will each have electronic speed controllers,to balance and handle control inputs received from an 8-bit microcontroller(AP),required for its flight. The firmware will be tweaked slightly to allow flight modes that our project specifically requires. A companion computer such as the Erle Brain will be connected to the AP and to the cloud(EC2). We will build a codebase for the flight controller to navigate the quad. This would involve sending messages as per the MAVLink spec for sUAS between the companion computer and the AP to poll sensor data , voltage information , etc. The companion computer will also talk to the cloud via a UDP port to receive requests and process them via our code. Users make requests for media capture via a phone app that talks to the cloud via an internet connection.

Why is it worth doing:

There is currently no consumer-friendly solution that provides or lets anyone capture aerial photographs of them/their family/a nearby event via a simple tap on a phone. In fact, present day off-the-shelf alternatives offer relatively expensive solutions that require owning and carrying bulky equipment such as the quads/remotes. Our idea allows for safe and responsible use of drones as our proposed solution is autonomous, has several safety features, is context aware(terrain information , no fly zones , NOTAMs , etc.) and integrates with the federal airspace seamlessly.

End Product:

Quads that are ready for the connected world and are capable to fly autonomously, from the user standpoint, and can perform maneuvers safely with a very simplistic UI for the common user. Specifically, quads which are deployed on user's demand, without the hassle of ownership.

Similar products and comparison:

Current solutions include RTF (ready to fly) quads such as the DJI Phantom and the Kickstarter project, Lily,that are heavily user-dependent or user-centric.The Phantom requires you to carry a bulky remote with multiple antennas. Moreover,the flight radius could be reduced by interference from nearby conditions.Lily requires the user to carry a tracking device on them. You can not have Lily shoot a subject that is not you. Lily can have a maximum altitude of 15 m above you and that is below the tree line,prone to crashes.

Our solution differs in several ways.Our solution intends to be location and/or event-centric. We propose that the users need not own quads and user can capture a moment with a phone.As long as any of the users are in the service area and the weather conditions are permissible, safety and knowledge of controlling the quad are all abstracted. The only question left to the user is what should be in the picture at a given time.

Project Videos