22 citations · 53 across the 10 of their papers we have counts for
10 papers
TAACKIT: Track Annotation and Analytics with Continuous Knowledge Integration Tool
Lily Lee, Julian Fontes, Andrew Weinert +3
Machine learning (ML) is a powerful tool for efficiently analyzing data, detecting patterns, and forecasting trends across various domains such as text, audio, and images. The avai…
Demand and Capacity Modeling for Advanced Air Mobility
Luis E. Alvarez, James Jones, Austin Bryan +1
Advanced Air Mobility encompasses emerging aviation technologies that transport people and cargo between local, regional, or urban locations that are currently underserved by aviat…
Estimating See and Be Seen Performance with an Airborne Visual Acquisition Model
Ngaire Underhill, Evan Maki, Bilal Gill +1
Separation provision and collision avoidance to avoid other air traffic are fundamental components of the layered conflict management system to ensure safe and efficient operations…
Benchmarking the Processing of Aircraft Tracks with Triples Mode and Self-Scheduling
Andrew Weinert, Marc Brittain, Ngaire Underhill +1
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…
Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes
Ngaire Underhill, Andrew Weinert
The National Airspace System (NAS) is a complex and evolving system that enables safe and efficient aviation. Advanced air mobility concepts and new airspace entrants, such as unma…
Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment
Andrew Weinert, Ngaire Underhill, Bilal Gill +1
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…
Method to Characterize Potential UAS Encounters Using Open Source Data
Andrew Weinert
As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may…
Large Scale Organization and Inference of an Imagery Dataset for Public Safety
Jeffrey Liu, David Strohschein, Siddharth Samsi +1
Video applications and analytics are routinely projected as a stressing and significant service of the Nationwide Public Safety Broadband Network. As part of a NIST PSCR funded eff…
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection
Jeffrey Liu, Andrew Weinert, Saurabh Amin
Traffic Management Centers (TMCs) routinely use traffic cameras to provide situational awareness regarding traffic, road, and weather conditions. Camera footage is quite useful for…
Semantic Topic Analysis of Traffic Camera Images
Jeffrey Liu, Andrew Weinert, Saurabh Amin
Traffic cameras are commonly deployed monitoring components in road infrastructure networks, providing operators visual information about conditions at critical points in the netwo…