SBIR-STTR Award

Verification and Validation Software for Autonomous UAS Certification
Award last edited on: 1/14/2023

Sponsored Program
SBIR
Awarding Agency
NASA : AFRC
Total Award Amount
$166,319
Award Phase
1
Solicitation Topic Code
A2.02
Principal Investigator
Alexander Moskowitz

Company Information

Visimo LLC

520 East Main Street Suite 200
Carnegie, PA 15106
   (412) 423-8324
   info@visimo.ai
   www.visimo.ai
Location: Single
Congr. District: 17
County: Allegheny

Phase I

Contract Number: 80NSSC22PB242
Start Date: 7/21/2022    Completed: 1/25/2023
Phase I year
2022
Phase I Amount
$166,319
VISIMO, a HUBZone small business, and University of Cincinnati will advance the verification and validation of Unmanned Aircraft Systems (UAS) by developing a testing environment (TE) that supports certification through the evaluation of safety and stability of artificial intelligence (AI) models used for autonomous flight. Utilizing a 3D simulation, the TE will test complex sensor fusion and ML decision-making routines. This system allows for testing of non-deterministic, “black-box” models by evaluating their performance in a realistic setting integrated with flight software and hardware. By carrying out failure modes in the TE, the certification tests can expand to include cascading failures in emergency scenarios, simulating rapid changes in operating conditions such as incoming storms, sensor failures such as obscured camera views, and hardware failures such as a bad Inertial Measurement Unit sensor (IMU). The high-level architecture of our solution contains a test management system. This system provides a way to design test suites, evaluate test results, and decide on further tests to pin down the complex, subtle failures that can occur in multi-sensor AI systems. The flight simulators that currently allow failure injection do not contain this useful post-test analysis. This test management system will also run parallel tests faster than real time, greatly surpassing the speed of current single-instance user-run tests. The purpose of the proposed Phase I work is to advance state-of-the-art to create a TE capable of certifying that complex nondeterministic algorithms used in autonomous UAS flight are safe for integration into the wider NAS environment; and (in Phase II) to subsequently develop tools to validate algorithms for prognostics, vehicle health, sensor fusion, decision-making, and cooperative planning using the Phase I TE. Phase I work will result in a technology demonstration and final report detailing the TE proof-of-concept. Potential NASA Applications (Limit 1500 characters, approximately 150 words): The solution supports NASA’s Advanced Air Mobility Mission by enabling a consistent, rigorous certification process that will increase UAS integration into the National Airspace System (NAS). Relevant NASA applications include the Airspace Operations & Safety Program, Integrated Aviation System Program, Transformative Aeronautics Concepts Program, Scalable Traffic Management for Emergency Response Operations, and Transformational Tools and Technologies. Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words): Improved certification will advance use of UAS across a variety of markets including healthcare, search and rescue, delivery, and agriculture. VISIMO will target prime contractors developing advanced UAS technology to integrate our proposed technology into best-practice certification standards. Duration: 6

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
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