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Meeting	ACGS Committee Meeting 133 - Asheville, NC - November 2024
Agenda Location	7 SUBCOMMITTEE C – AVIONICS AND SYSTEM INTEGRATION 7.3 Collision Avoidance for Advanced Air Mobility
Title	Collision Avoidance for Advanced Air Mobility
Presenter	Raman Mehra
Affiliation	SSCI
Available Downloads*	presentation
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Abstract	NASA’s AAM Mission predicts a significant increase in aerial traffic. Future AAM airspace users range from larger manned aircraft, helicopters, and small general aviation (GA) vehicles, to both small and large UAS. These aerial vehicles will have to share the airspace that is envisioned to rapidly grow in complexity. Hence future Detect and Avoid (DAA) systems must account for dense airspaces and airspace geometries and potential multiple simultaneous encounters that impact the aircraft’s safe operation. SSCI has been developing relevant technologies for DAA systems since 2010. Major technical innovations include 1) The sensor-agnostic ASSIST system which can fuse a variety of sensor inputs to create tracks of potential encounters. 2) Probabilistic Reachable Sets based on Lincoln Lab’s Uncorrelated Encounter Model which provides statistics of aerial encounters observed in the National Airspace System and is effectively used in the FORECAST module for encounter assessment. 3) ADVISE module which, in the case of time-critical encounters, rapidly generates maneuvers or recommendations necessary for achieving safe avoidance to reach the desired Target Level of Safety. The proposed innovation is based on predicted feasibility of the Evolutionary Algorithm-based maneuver generation to outperform baseline techniques while achieving the desired Target Level of Safety with near-real-time computations.