Search Results for author: Ngaire Underhill

Found 3 papers, 2 papers with code

Estimating See and Be Seen Performance with an Airborne Visual Acquisition Model

no code implementations29 Jun 2023 Ngaire Underhill, Evan Maki, Bilal Gill, Andrew Weinert

To safely integrate into the airspace, drones should be required to have a minimum level of performance based on the safety achieved as baselined by crewed aircraft seen and be seen interactions.

Collision Avoidance Management

Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes

1 code implementation4 Mar 2021 Ngaire Underhill, Andrew Weinert

However, these models were not sufficient to assess the safety of smaller UAS operations below 500 feet AGL.

Collision Avoidance

Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment

3 code implementations3 Aug 2020 Andrew Weinert, Ngaire Underhill, Bilal Gill, Ashley Wicks

As unmanned aircraft systems (UASs) continue to integrate into the U. S. National Airspace System (NAS), there is a need to quantify the risk of airborne collisions between unmanned and manned aircraft to support regulation and standards development.

Distributed, Parallel, and Cluster Computing Computational Engineering, Finance, and Science H.3; I.6.5; E.2

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