Three Quantitative Means to Remain Well Clear for Small UAS in the Terminal Area

Small Unmanned Aircraft Systems (sUAS) at low altitudes are increasingly being deployed to support important inspection, communications, and delivery operations. However, the expansion of these operations is constrained by regulatory and safety concerns regarding collisions with manned aircraft that limit deployments near aerodromes. Detect and Avoid (DAA) systems, geofencing systems, and Unmanned Traffic Management (UTM) separation services are components of a layered conflict management system to enable safe operations in terminal areas.1 These components cannot be developed, standardized, or certified without quantitative definitions for safe separation. These quantitative definitions for safe separation are termed "well clear," since they enable systems to show compliance with the well clear intent in Title 14 Code of Federal Regulation (CFR) Parts 91 or 107 or their international equivalents.

[1]  Curtis W. Heisey,et al.  A Reference Software Architecture to Support Unmanned Aircraft Integration in the National Airspace System , 2013, J. Intell. Robotic Syst..

[2]  David R. Maroney,et al.  UNMANNED AIRCRAFT COLLISION AVOIDANCE – TECHNOLOGY ASSESSMENT AND EVALUATION METHODS , 2007 .

[3]  Rodney E. Cole,et al.  Defining Well Clear for Unmanned Aircraft Systems , 2015 .

[4]  Eric R. Mueller,et al.  Investigating Effects of Well Clear Definitions on UAS Sense-And-Avoid Operations in Enroute and Transition Airspace , 2013 .

[5]  Timothy W. McLain,et al.  A Well Clear Recommendation for Small UAS in High-Density, ADS-B-Enabled Airspace , 2017 .

[6]  Scott Litsheim,et al.  Airport obstacle surfaces , 2009 .

[7]  Mykel J. Kochenderfer,et al.  On Estimating Mid-Air Collision Risk , 2010 .

[8]  Richard G. Cobb,et al.  Optimal Path Planning for SUAS Target Observation through Constrained Urban Environments using Simplex Methods , 2018, 2018 Annual American Control Conference (ACC).

[9]  Andrew Weinert,et al.  Generating Representative Small UAS Trajectories using Open Source Data , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).

[10]  Ray Young UAS ground-based detect and avoid capability , 2018, 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS).

[11]  Mykel J. Kochenderfer,et al.  Uncorrelated Encounter Model of the National Airspace System, Version 1.0 , 2008 .

[12]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[13]  P. G. Reich,et al.  Separation Standards—II , 1966 .

[14]  Peter Brooker,et al.  Air Traffic Control Separation Minima: Part 1 – The Current Stasis , 2011, Journal of navigation.

[15]  Niklas Peinecke,et al.  Application of “Well Clear” to Small Drones , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).

[16]  James K. Kuchar,et al.  Collision Avoidance for Unmanned Aircraft: Proving the Safety Case , 2006 .

[17]  S. Ratcliffe,et al.  Analysis of Long-Range Air Traffic Systems: Separation Standards—I , 1966, Journal of Navigation.

[18]  Mykel J. Kochenderfer,et al.  Efficiently Estimating Ambient Near Mid-Air Collision Risk for Unmanned Aircraft* , 2010 .

[19]  Woojin Choi,et al.  Visual Detection of Small Unmanned Aircraft System: Modeling the Limits of Human Pilots , 2020, J. Intell. Robotic Syst..

[20]  Giancarmine Fasano,et al.  Sense and avoid for unmanned aircraft systems , 2016, IEEE Aerospace and Electronic Systems Magazine.

[21]  Gregory Stephen Woo Visual Detection of Small Unmanned Aircraft: Modeling the Limits of Human Pilots , 2017 .

[22]  Adan E. Vela,et al.  A Safety Analysis of UAV Mapping Operations , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).

[23]  John L. Salmon,et al.  Deconfliction in High-Density Unmanned Aerial Vehicle Systems , 2019, Journal of Air Transportation.

[24]  Ryan J Wallace,et al.  Evaluating Small UAS Near Midair Collision Risk Using AeroScope and ADS-B , 2018 .

[25]  Andrew Weinert,et al.  Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk , 2018, Journal of Air Transportation.

[26]  Matthew W. M. Edwards,et al.  Establishing a Risk-Based Separation Standard for Unmanned Aircraft Self Separation , 2011 .

[27]  César Muñoz,et al.  A Family of Well-Clear Boundary Models for the Integration of UAS in the NAS , 2014 .

[28]  B. Alexander Aircraft density and midair collision , 1970 .

[29]  César Muñoz,et al.  Unmanned Aircraft Systems Minimum Operations Performance Standards End-to-End Verification and Validation (E2-V2) Simulation , 2017 .