"Research Advances in UAS and Advanced Air Mobility: Detect and Avoid and Path Planning for High Density Airspace"
In the recent past, important efforts have been devoted to the safe integration of Unmanned Aircraft Systems (UAS) in all classes of airspace, a key-prerequisite to unleash their full potential for civilian operations. Closely linked with these developments, advanced air mobility (AAM) has appeared as a new and disruptive dimension for aviation, potentially enabling mobility of goods and people at a different scale compared with current operations. This exciting evolution is reshaping the future of aviation, but it also challenges traditional paradigms in the field of avionics, and requires advances both from a technological and a regulatory perspective.
This lecture addresses gaps and recent research advances in this framework, focusing within a unified perspective on detect and avoid (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 general in low altitude airspace surveillance. Concerning path planning, the focus will be set on highly autonomous low-altitude flight operations in dense urban environments, which emphasize the links between airspace structure and management, and the requirements 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 traffic deconfliction at infrastructure and vehicle level.
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- Date: 13 Feb 2024
- Time: 06:00 PM to 08:30 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- QinetiQ US - 358 Second Avenue
- Waltham, Massachusetts
- United States 02451
- Starts 24 January 2024 11:00 AM
- Ends 12 February 2024 05:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Giancarmine Fasano
"Research Advances in UAS and Advanced Air Mobility: Detect and Avoid and Path Planning for High Density Airspace"
Biography:
Giancarmine Fasano is Associate Professor at the University of Naples "Federico II", where he teaches courses in "Unmanned Aircraft Systems", "Space Flight Dynamics", and “Design of Autonomous Aircraft”, as part of the M.S. Programs in Aerospace Engineering and Autonomous Vehicles Engineering. He also holds courses (UAS and Mini/micro-UAS Lab) at the Italian Air Force Academy. His research activities in the field of aeronautics are focused on UAS, and in particular on sense and avoid, cooperative multi-drone systems, path planning and navigation with recent emphasis on Advanced Air Mobility scenarios. In the space field he is mainly interested in distributed space systems and proximity operations, with emphasis on relative motion design/control and relative navigation, and in space domain awareness.
He is Vice-Chair of the Avionics Systems Panel (ASP) of the IEEE Aerospace and Electronic Systems Society, Senior Editor of the IEEE Transactions on Aerospace and Electronic Systems for the Avionics area, Associate Editor of the IEEE AESS Magazine for the UAS area of specialty, and IEEE Senior Member. Since 2019, he has been Member of the Organizing Committee and Tutorial Instructor at the IEEE/AIAA Digital Avionics Systems Conference. He is Member of the AIAA Sensor Systems and Information Fusion Technical Committee and AIAA Senior Member, and he has also been Member of the IAA (International Academy of Astronautics) Committee on Small Satellites. He has co-authored about 200 publications and five book chapters.