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3D Indoor Positioning System SD May 11-17

3D Indoor Positioning System SD May 11-17. Faculty Advisor: Dr. Daji Qiao. Members: Dan Guilliams – CprE Nicholas Allendorf – CprE Adam Schuster – CprE Christopher Daly – CprE Andrew Joseph – EE. Client: Virtual Reality Application Center. Problem Statement.

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3D Indoor Positioning System SD May 11-17

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  1. 3D Indoor Positioning SystemSD May 11-17 Faculty Advisor: Dr. DajiQiao Members: Dan Guilliams – CprE Nicholas Allendorf – CprE Adam Schuster – CprE Christopher Daly – CprE Andrew Joseph – EE Client: Virtual Reality Application Center

  2. Problem Statement • Currently, there exists no inexpensive system that is able to accurately localize object in three-dimensional space. • We are concerned with small scale and high accuracy, unlike GPS. • Such a system could be used as an input device/controller to a computer system. • It could be used for virtual reality systems, touch tables, or a “Minority Report”-style UI. • Our goal is to create such a system, capable of tracking multiple objects.

  3. Objective • Design and build a 3D indoor positioning system (IPS) for VRAC applications such as multi-touch table or touch wall. • The end product is to provide fingertip tracking with 1 cm accuracy. • Twomain components: • IPS Device: Worn on fingertips, or embedded in a glove • IPS Infrastructure: Detects location of IPS Devices

  4. Conceptual System Diagram

  5. Functional Decomposition (Modules) • Multiple, reproducible tracking devices • Tracking methods • Received signal strength • Infrared beacons and cameras • Ultrasonic emitters • Hybrid (Accelerometers and gyros paired with localization) • A minimum of 15Hz refresh rate on position

  6. Functional Requirements • Provide position updates with 1 cm accuracy within a 2 m x 2 m x 2 m region indoors • Give position updates 15 times per second • Display position in a graphical interface • Support as many simultaneous devices as possible

  7. Non-Functional Requirements • Small, lightweight device • Durable device • Device with long battery life (a few weeks) • Easy to set up infrastructure • Reproducible devices with consistent quality

  8. Constraints • Small device size limits choice of technology • Need for battery life forces much of the work to be done by the infrastructure • Want the system to be as non-intrusive as possible (no annoying beeps or lights) • In order to distinguish devices, some part of the device must be distinguishable to infrastructure

  9. Tenative Timeline

  10. Risks and Mitigation • Finding the right technology for the task, need to do strong research and prototyping • Research needs to be completed on schedule so the project does not fall behind • Requirements are challenging and aiming for them could lead to coming up short, need to design the system such that there is room to give

  11. Effort Estimates

  12. Cost Estimate • Parts and materials: • Unknown at this time ~$1000 • Labor ($20/hr) • Chris Daly $2800 • Adam Schuster $2800 • Daniel Guilliams $2800 • Andrew Joseph $2800 • Nicholas Allendorf $2800 • Total ~$15000

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