Show simple item record

dc.contributor.authorFoye, Kylie
dc.date.accessioned2020-10-29T20:34:35Z
dc.date.available2020-10-29T20:34:35Z
dc.date.issued2019-06-17
dc.identifier.urihttps://hdl.handle.net/1721.1/128256
dc.description.abstractIn remote areas of Alaska, pilots check current or forecasted weather conditions before they fly, but a lack of automated weather observation stations throughout the Alaskan bush makes it hard to know exactly what to expect. To help, the FAA recently installed 221 web cameras near runways and mountain passes. Pilots can look at the image feeds online to plan their route. Still, it’s difficult to go through what could be hundreds of images and estimate just how far one can see. Laboratory staff have been working with the FAA to turn these web cameras into visibility sensors and have developed an algorithm, called Visibility Estimation through Image Analytics (VEIA), that uses a camera’s image feed to automatically determine the area’s visibility. These estimates can then be shared among forecasters and with pilots online in real time.en_US
dc.language.isoen_USen_US
dc.publisherMIT Lincoln Laboratoryen_US
dc.relation.ispartofseriesMIT Lincoln Laboratory News;
dc.rightsAttribution-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.subjectLincoln Laboratoryen_US
dc.subjectSupercomputingen_US
dc.subjectLLSCen_US
dc.titleAn algorithm with an eye for visibility helps pilots in Alaskaen_US
dc.typeArticleen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

  • LLSC in the News
    News articles about the LLSC and programs that are supported by the LLSC

Show simple item record