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Defining the Collision Avoidance Region for DAA Systems

Published 2019-07-11 From Ames Research Center 5 authors

Attribution

This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Ames Research Center.

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

Unmanned aircraft systems (UAS) will be required to equip with a detect-­‐and-­‐avoid (DAA) system in order to satisfy the federal aviation regulations to maintain well clear of other aircraft, some of which may be equipped with a Traffic Collision Avoidance System (TCAS) to mitigate the possibility of mid-­‐air collisions. As such, the minimum operational performance standards (MOPS) for UAS DAA systems are being designed with TCAS interoperability in mind by a group of industry, government, and academic institutions named RTCA Special Committee-228 (SC-228). This document will discuss the development of the spatial-­‐temporal volume known as the collision avoidance region in which the DAA system is not allowed to provide vertical guidance to maintain or regain DAA well clear that could conflict with resolution advisories (RAs) issued by the intruder aircraft's TCAS system. Three collision avoidance region definition candidates were developed based on the existing TCAS RA and DAA alerting definitions. They were evaluated against each other in terms of their interoperability with TCAS RAs and DAA alerts in an unmitigated factorial encounter analysis of 1.3 million simulated pairs.

Authors

  • Thipphavong, David NASA Ames Research Center
  • Cone, Andrew NASA Ames Research Center
  • Park, Chunki Universities Space Research Association
  • Lee, Seung Man Universities Space Research Association
  • Santiago, Confesor NASA Ames Research Center

Keywords

  • collision avoidance region
  • detect and avoid
  • tactical conflict avoidance system

Citation: Thipphavong, David, Cone, Andrew, Park, Chunki , et al. (2019). Defining the Collision Avoidance Region for DAA Systems. Ames Research Center. NASA NTRS ID 20160010603. https://ntrs.nasa.gov/citations/20160010603 ↗