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A. Benjamin Wager (ME) B. Michael Skube (ME) C. Matthew Greco (ME) D. James Hunt (ME)

Project Status Update R09230: Open Architecture, Open Source Unmanned Aerial Vehicle for Imaging Systems. A. Benjamin Wager (ME) B. Michael Skube (ME) C. Matthew Greco (ME) D. James Hunt (ME) E. Stephen Sweet (ME) F. Joshua Wagner (ME). Project Status Update. Project Family

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A. Benjamin Wager (ME) B. Michael Skube (ME) C. Matthew Greco (ME) D. James Hunt (ME)

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  1. Project Status UpdateR09230: Open Architecture, Open Source Unmanned Aerial Vehicle for Imaging Systems A. Benjamin Wager (ME) B. Michael Skube (ME) C. Matthew Greco (ME) D. James Hunt (ME) E. Stephen Sweet (ME) F. Joshua Wagner (ME)

  2. Project Status Update • Project Family • Open Architecture, Open Source Unmanned Aerial Vehicle for Imaging Systems • Family Number • R09230 • Start Term • 2008-2 planned academic quarter for MSD1 • End Term • 2013-3 planned academic quarter for MSD2 • Faculty Guide • Dr. Jason Kolodziej (ME) • Faculty Consultant • Dr. Agamemnon Crassidis (ME) – Possible Consultant • Faculty Consultant • Dr. Mark Kempski (ME) – Possible Consultant • Faculty Consultant • Dr. P. Venkataraman (ME) – Possible Consultant • Primary Customer • R09560 - Open Architecture, Open Source Aerial Imaging Systems • Law Enforcement Agencies (Marijuana Eradication)

  3. Mission Statement Product Description /Project Overview The Unmanned Aerial Vehicle family of projects is intended to create an open source, open architecture platform to hold imaging systems for research projects and law enforcement. Key Business Goals/Project Deliverables The primary business goals of this product are to Create a product that is more cost effective than existing solutions. Create a stable, easily controlled aerial platform. Create an open source UAV platform that can carry and control an imaging system. Primary Market / Project Opportunities The primary market for the Unmanned Aerial Vehicle is the RIT College of Imaging Science. It is intended as a tool to facilitate imaging research, and to enhance their image capturing abilities. Secondary Market / Project Opportunities The secondary market for the Unmanned Aerial Vehicle is Public Safety Officials. Primarily for Law Enforcement to increase their response capabilities, and decrease their reliance on manned aircraft, thus decreasing their aerial costs. This can also be used by fire departments to track wildfires or realtors who sell large tracts of land. Stakeholders Stakeholders in the design of our product include the following: • R09560 - Open Architecture, Open Source Aerial Imaging Systems • College of Imaging Science • Law Enforcement Agencies • Fire Departments • Realtors / Appraisers • The Communities in which our law enforcement customers reside

  4. Identify Customer Needs Conducted Interviews Police Departments Mr. Anand Badgujar Det. Steve McLoud Accident Reconstructionists John Desch Associates Real Estate Agents Mr. Len DiPaolo Fire Departments Mr. Dave Wardall Customs and Border Patrol Mr. Don Lyos Past Senior Design Teams • P08110 – UAV Digital Imaging System: Interface between R/C aircraft and mounted imaging system • P07122 – Modular, Scalable, Autonomous Flight Vehicle: Autonomous aircraft to carry a payload • P07301 – Vehicle Data Acquisition DAQ Subsystem: Data processing and transmission • P06003 – Schweizer 1-26 Flight Simulator: Flight control systems with intuitive user interface • P06010 – Constant Surveillance UAV: Autonomous vehicle control and GPS waypoint navigation

  5. Concept DevelopmentIdentify Customer Needs - Interpret Needs Statements: • Minimize vibrations for clear images/video • Ability to loiter over one particular area • High top speed to arrive at destination quickly • Airspeed • Altitude • Pitch • Heading • GPS Position • Oblique angle of image (could be calculated from other measurements) • Control engine speed • Control flaps, rudder, etc. • Pass along measured flight data • Remote control of the plane • Autonomous flight via offboard computing • Autonomous flight via onboard computing • Aircraft must survive several rough landings • Protect payload in the event of a crash • Easily assembled/disassembled or collapsed to fit in an SUV or truck • Carry a sufficient amount of imaging equipment • Easily interchange different imaging systems

  6. Affinity Diagram Flight Characteristics Loiter Fast Stable Short Flight Time Long Flight Time Controls Data Collection Autonomous Patrol RC Control Preprogrammed Flight Route Third Party Pilot / Data Collection Pre-Programmable Third Party Pilot / Data Collection 3D Mesh Imaging Capability Real Time Site Data Report Photo Information (scale, angle) GPS Take Off / Landing Camera Conventional Landing Net On Roof Thrown / Parachute VTOL Down-looking Camera Wide Angle Lens Still Pictures Video Straight Down Camera Angle Angled Camera Airframe Easy / No Assembly Needed Able to Disassemble Small Package Modular / Removable Wings

  7. Objective Tree Inexpensive - Cheaper than currently fielded systems Easy to Fly - for targeted end user groups Stable - Low maintenance cost Economic Objective Sustainable - Long life between maintenance and replacement Time - Complete sub projects in 22 weeks & quick assembly of vehicle if portable Unmanned Aerial Vehicle for Imaging Systems Objective Tree Technological Objective Resource Objective Rugged - Simple but powerful technology Small User Groups - Small operator and maintenance staff Raw Materials - Funding and material source Unmanned - Use of technology to automate flight Scope Objective Open Source - Develop all aspects for in house production Team Integration - Both UAV sub groups and Imaging team Marketable - Public Safety and Research Usage

  8. Hierarchy of Needs • Fast, stable aircraft • Minimize vibrations for clear images/video • Ability to loiter over one particular area • High top speed to arrive at destination quickly • Ability to measure flight parameters • Airspeed • Altitude • Pitch • Heading • GPS Position • Oblique angle of image (could be calculated from other measurements) • Ability to control the aircraft and the payload • Interface with the imaging system to pass along commands • Control engine speed • Control flaps, rudder, etc. • Communication between the aircraft and user • Pass along measured flight data • Remote control of the plane • Autonomous flight via offboard computing • Autonomous flight via onboard computing • Structural integrity and features • Aircraft must survive several rough landings • Protect payload in the event of a crash • Easily assembled/disassembled or collapsed to fit in an SUV or truck • Payload • Carry a sufficient amount of imaging equipment • Easily interchange different imaging systems

  9. House of Quality

  10. Preliminary Schedule • Graphical Representation of Rough Schedule

  11. Future PlanWhere do we go from here? • Further specification of individual discipline specialties and requirements. • Reexamine individual projects’ complexity and time constraints • Separation of phase segments into annual cycles • Analysis of budgetary needs and constraints

  12. Considerations • Competitions –SAE Heavy Lift –AMA Heavy Lift •FAA Regulations –Classification –Altitude Restrictions

  13. Questions?

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