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Charles River Analytics, Inc. STTR Phase I Award, July 2022

A STTR Phase I contract was awarded to Charles River Analytics in July, 2022 for $139,995.0 USD from the U.S. Department of Defense and United States Navy.

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sbir.gov/node/2329705
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Charles River Analytics
Charles River Analytics
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
STTR0
Contract Number (US Government)
N68335-22-C-03930
Award Phase
Phase I0
Award Amount (USD)
139,9950
Date Awarded
July 28, 2022
0
End Date
February 6, 2023
0
Abstract

Rotary wing operations for low-level flight during takeoff and landing are visually dominant, requiring minute, constant, control corrections.  In Degraded Visual Environments (DVE), useful external visual information is reduced or eliminated, making it easier for unreliable vestibular information to adversely influence perception of aircraft state, often leading to spatial disorientation (SD) and accidents. Helicopter avionics insufficiently support maneuvers in DVE. Charles River Analytics proposes to design and demonstrate a Graphical Interface for SD Mitigation and Optimization of Situation Awareness (GISMOS). Our Ecological Interface Design approach, based on a Cognitive Task Analysis, addresses pilots’ perceptual, cognitive, and physical needs, and identifies missing/incorrect cues due to DVE. GISMOS symbologies will substitute necessary cues, such as perspective, depth, and vection, while operators maintain an eyes-out posture. GISMOS will allow pilots to avoid or quickly resolve SD during brownout conditions in a manner that is consistent with how they would operate if they could see visually outside the flight deck, enabling seamless transition between real-world spatial cues and their synthetic display symbology counterparts. Feasible technology is reviewed for implementation of the symbologies developed utilizing a formal test protocol to validate the solution within an ecologically valid context without causing new safety/performance issues.

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