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Fast find people
Fast find people




fast find people fast find people

student, who led the team’s development of their custom software. “Most SAR applications are proprietary and developed in Android/iOS SDK,” explained Wei Cui, a second-year aerospace engineering Ph.D. student, the team-part of Maryland’s Autonomous Micro Air Vehicle (AMAV) Team-worked over the past year to develop custom software that not only improved their UAV’s ability to detect individuals lost in heavily forested environments, but also offered a creative open-source solution with expanded options. Led by Animesh Shastry, an aerospace engineering fourth-year aerospace engineering Ph.D. In recent years, first responders have begun leveraging UAS technology to improve response capabilities for search and rescue operations while providing systems that also improve the safety for deployed personnel. The competition challenged participants to develop an unmanned aerial vehicle (UAV) system that could “increase the speed of search and rescue operations where direct visual contact with a potential subject may be obscured.” student Thomas Brosh.Ī team of University of Maryland students won first place in the National Institute of Standards and Technology (NIST) Public Safety Communications Research Division’s (PSCRD) inaugural First Responder UAS Triple Challenge 3.1: FastFind Competition. student Animesh Shastry and recently graduated aerospace engineering B.S. UMD Team Wins Inaugural NIST UAS 3.1: FastFind ChallengeĪMAV Team Members in Mississippi, from left to right: Faculty advisor Professor Derek Paley, aerospace engineering senior and pilot Qingwen Wei, fourth-year aerospace engineering Ph.D.






Fast find people