Distributed Sensing for Advanced Air Mobility in Varying Environments

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.