Risk identification and management for safe UAS operation

Unmanned Air Systems (UAS) have numerous applications. Commercial potential in particular will not be realized until a comprehensive strategy is developed for safely and fully integrating UAS into an airspace currently dominated by commercial transport operations. This paper overviews a challenging benchmark application, on-demand surveillance over a densely-populated urban region, then presents a spectrum of risks that might be encountered. We describe novel risk mitigation criteria for small UAS that focus not on vehicle preservation but instead on minimizing risk of harm to people and property on the ground as well as to higher-value airborne assets. We conclude with a case study in which wind shear and turbulence in an urban canyon require a small UAS to execute an unplanned landing.

[1]  D. W. Camp,et al.  Wind shear characterization , 1986 .

[2]  Paul Scheunders,et al.  Generic wavelet-based hyperspectral classification applied to vegetation stress detection , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Jonathan Cheung-Wai Chan,et al.  Use of spectral mixture analysis for characterisation of function and structure of heathland habitat types , 2009 .

[4]  Peter Lissaman,et al.  Effects of Turbulence on Bank Upsets of Small Flight Vehicles , 2009 .

[5]  Robert A. Greevy Data Analysis and Graphics Using R: An Example-Based Approach , 2010 .

[6]  Margaret E. Gardner,et al.  Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models , 1998 .

[7]  R. Fisher THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[8]  Alessandro Mecocci,et al.  Theoretical and experimental assessment of noise effects on least-squares spectral unmixing of hyperspectral images , 2005 .

[9]  Josef Kittler,et al.  Floating search methods in feature selection , 1994, Pattern Recognit. Lett..

[10]  Gregory S. Okin,et al.  MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS : APPL 1 CATION TO AN ARID / SEMI-ARID LANDSCAPE , 1998 .

[11]  Robert F. Stengel,et al.  Probabilistic reasoning for intelligent wind shear avoidance , 1992 .

[12]  R. A. Greene Airborne Detection of Low-Level Wind Shear , 1978 .

[13]  Daniel P. Schrage,et al.  Simulation Evaluation of a Reconfigurable Flight Controller of a Heli-UAV for Extreme Maneuvers , 2000 .