A sensor dataset was acquired from approximately 100 low-altitude flight operations across NASA Langley Research Center, NASA Armstrong Flight Research Center, and Castel Campagnano Italy to develop and advance distributed sensing techniques to enable widespread autonomous Advanced Air Mobility Operations. The objective of these experiments is to create a comprehensive database of Uncrewed Aircraft Systems (UAS) and Advanced Air Mobility (AAM)-like aircraft performing varying maneuvers in different sensing environments for evaluating the generalizability of sensors and tracking algorithm performance. Preliminary outputs of existing sensing algorithms are presented herein.
Distributed Sensing for Advanced Air Mobility in Varying Environments / Dolph, Chester; Katragadda, Dasarath; Petty, Bryan; Ippolito, Corey A.; Gorospe, George E.; Lombaerts, Thomas; Kawamura, Evan; Brown, Nelson; Vitiello, Federica; Causa, Flavia; Opromolla, Roberto; Fasano, Giancarmine. - (2026). ( AIAA SCITECH 2026 Forum Orlando, FL, USA 12-16 January 2026) [10.2514/6.2026-2578].
Distributed Sensing for Advanced Air Mobility in Varying Environments
Federica Vitiello;Flavia Causa;Roberto Opromolla;Giancarmine Fasano
2026
Abstract
A sensor dataset was acquired from approximately 100 low-altitude flight operations across NASA Langley Research Center, NASA Armstrong Flight Research Center, and Castel Campagnano Italy to develop and advance distributed sensing techniques to enable widespread autonomous Advanced Air Mobility Operations. The objective of these experiments is to create a comprehensive database of Uncrewed Aircraft Systems (UAS) and Advanced Air Mobility (AAM)-like aircraft performing varying maneuvers in different sensing environments for evaluating the generalizability of sensors and tracking algorithm performance. Preliminary outputs of existing sensing algorithms are presented herein.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
