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DTSTART:20240310T030000
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DTSTART:20231105T010000
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DTSTAMP:20240311T112601Z
UID:3FA2F7A6-03A6-4C28-B03F-EA22A8133A08
DTSTART;TZID=America/New_York:20240213T180000
DTEND;TZID=America/New_York:20240213T203000
DESCRIPTION:In the recent past\, important efforts have been devoted to the
  safe integration of Unmanned Aircraft Systems (UAS) in all classes of air
 space\, a key-prerequisite to unleash their full potential for civilian op
 erations. Closely linked with these developments\, advanced air mobility (
 AAM) has appeared as a new and disruptive dimension for aviation\, potenti
 ally enabling mobility of goods and people at a different scale compared w
 ith current operations. This exciting evolution is reshaping the future of
  aviation\, but it also challenges traditional paradigms in the field of a
 vionics\, and requires advances both from a technological and a regulatory
  perspective.\n\nThis lecture addresses gaps and recent research advances 
 in this framework\, focusing within a unified perspective on detect and av
 oid (DAA) and path planning / airspace management. DAA has represented one
  of the main roadblocks to the integration of UAS operations. The lecture 
 will first outline architectures\, technologies\, and algorithms for DAA. 
 Then\, it will discuss recent trends and progress in DAA and more in gener
 al in low altitude airspace surveillance. Concerning path planning\, the f
 ocus will be set on highly autonomous low-altitude flight operations in de
 nse urban environments\, which emphasize the links between airspace struct
 ure and management\, and the requirements on communications navigation and
  surveillance (CNS) technologies. The lecture will address recent multi-ob
 jective navigation-aware strategic and tactical planning approaches which 
 can be used as workhorses for traffic deconfliction at infrastructure and 
 vehicle level.\n\nSpeaker(s): Giancarmine Fasano \, \n\nQinetiQ US  - 358 
 Second Avenue\, Waltham\, Massachusetts\, United States\, 02451
LOCATION:QinetiQ US  - 358 Second Avenue\, Waltham\, Massachusetts\, United
  States\, 02451
ORGANIZER:fscire@alum.mit.edu
SEQUENCE:19
SUMMARY: &quot;Research Advances in UAS and Advanced Air Mobility: Detect and Av
 oid and Path Planning for High Density Airspace&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/401873
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In the recent past\, important efforts hav
 e been devoted to the safe integration of Unmanned Aircraft Systems (UAS) 
 in all classes of airspace\, a key-prerequisite to unleash their full pote
 ntial for civilian operations. Closely linked with these developments\, ad
 vanced air mobility (AAM) has appeared as a new and disruptive dimension f
 or aviation\, potentially enabling mobility of goods and people at a diffe
 rent scale compared with current operations. This exciting evolution is re
 shaping the future of aviation\, but it also challenges traditional paradi
 gms in the field of avionics\, and requires advances both from a technolog
 ical and a regulatory perspective.&lt;/p&gt;\n&lt;p&gt;This lecture addresses gaps and
  recent research advances in this framework\, focusing within a unified pe
 rspective on detect and avoid (DAA) and path planning / airspace managemen
 t.&amp;nbsp\;&amp;nbsp\; DAA has represented one of the main roadblocks to the int
 egration of UAS operations. The lecture will first outline architectures\,
  technologies\, and algorithms for DAA. Then\, it will discuss recent tren
 ds and progress in DAA and more in general in low altitude airspace survei
 llance. Concerning path planning\, the focus will be set on highly autonom
 ous low-altitude flight operations in dense urban environments\, which emp
 hasize the links between airspace structure and management\, and the requi
 rements on communications navigation and surveillance (CNS) technologies. 
 The lecture will address recent multi-objective navigation-aware strategic
  and tactical planning approaches which can be used as workhorses for traf
 fic deconfliction at infrastructure and vehicle level.&lt;/p&gt;
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