At long last, here are all the materials from my Master’s Thesis:<\/p>\n
Abstract<\/strong><\/p>\n There can be little doubt that Hurricane Katrina will always be remembered for the damage and devastation it caused. But it also provided the \u00ef\u00ac\u0081rst opportunity for MAVs to be used and evaluated during Search and Rescue (SAR) as well as recovery operations. Researchers from The Center for Robot-Assisted Search And Rescue (CRASAR) made two separate deployments to areas affected by Hurricane Katrina: one during initial SAR operations and a second deployment during recovery operations 90 days later. Using data and observations from both of these deployments, this work draws four key \u00ef\u00ac\u0081ndings about semi-autonomous Miniature UAV (MAV) operations in urban environments. These \u00ef\u00ac\u0081ndings are intended to guide future MAV research as well as serve as a roadmap for the evolution from semi-autonomous to fully autonomous MAV capabilities. These \u00ef\u00ac\u0081ndings are as follows: the minimum useful standoff distance from inspected structures is 2-5 m, omni-directional sensor capabilities are needed for obstacle avoidance, GPS waypoint navigation is unnecessary, and that these operations currently require three operators for one MAV.<\/p><\/blockquote>\n Link to the PDF: Master’s Thesis<\/a><\/p>\n And linked offsite to save space (so, email me if these links ever break):<\/p>\n The sources (LaTeX, BibTeX, style class, and images to build the pdf): Sources.zip<\/a><\/p>\n The Keynote presentation: Master’s Defense<\/a>
\nPDF export of presentation + videos: Master’s Defense PDF<\/a>
\n(there is a list of which video goes to what slide in the zip)<\/p>\n