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Found 6 papers, 2 papers with code
Estimating See and Be Seen Performance with an Airborne Visual Acquisition Model
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.
Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes
However, these models were not sufficient to assess the safety of smaller UAS operations below 500 feet AGL.
Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment
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
Large Scale Organization and Inference of an Imagery Dataset for Public Safety
Video applications and analytics are routinely projected as a stressing and significant service of the Nationwide Public Safety Broadband Network.
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection
In this article, we propose a semantics-oriented approach to analyzing sequential image data, and demonstrate its application for automatic detection of real-world, anomalous events in weather and traffic conditions.
Semantic Topic Analysis of Traffic Camera Images
This study demonstrates the flexibility of our approach, which allows us to analyze weather events and freeway traffic using only traffic camera image labels.
