REVS: a radar-based enhanced vision system for degraded visual environments

Alexander Brailovsky; Justin Bode; Pete Cariani; Jack Cross; Josh Gleason; Victor Khodos; Gary Macias; Rahn Merrill; Chuck Randall; Dean Rudy

doi:10.1117/12.2053084

19 June 2014 REVS: a radar-based enhanced vision system for degraded visual environments

Alexander Brailovsky, Justin Bode, Pete Cariani, Jack Cross, Josh Gleason, Victor Khodos, Gary Macias, Rahn Merrill, Chuck Randall, Dean Rudy

Author Affiliations +

Proceedings Volume 9087, Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2014; 908708 (2014) https://doi.org/10.1117/12.2053084
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Sierra Nevada Corporation (SNC) has developed an enhanced vision system utilizing fast-scanning 94 GHz radar technology to provide three-dimensional measurements of an aircraft’s forward external scene topography. This threedimensional data is rendered as terrain imagery, from the pilot’s perspective, on a Head-Up Display (HUD). The image provides the requisite “enhanced vision” to continue a safe approach along the flight path below the Decision Height (DH) in Instrument Meteorological Conditions (IMC) that would otherwise be cause for a missed approach. Terrain imagery is optionally fused with digital elevation model (DEM) data of terrain outside the radar field of view, giving the pilot additional situational awareness. Flight tests conducted in 2013 show that REVS™ has sufficient resolution and sensitivity performance to allow identification of requisite visual references well above decision height in dense fog. This paper provides an overview of the Enhanced Flight Vision System (EFVS) concept, of the technology underlying REVS, and a detailed discussion of the flight test results.

Citation Download Citation

Alexander Brailovsky, Justin Bode, Pete Cariani, Jack Cross, Josh Gleason, Victor Khodos, Gary Macias, Rahn Merrill, Chuck Randall, and Dean Rudy "REVS: a radar-based enhanced vision system for degraded visual environments", Proc. SPIE 9087, Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2014, 908708 (19 June 2014); https://doi.org/10.1117/12.2053084

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