Dynamic-based video data registration

Knowing the precise location where data is collected is a key feature for automated road inspection, including pavement surface and subsurface condition evaluation. The accuracy of commercially available GPS systems (5 to 10 meters) is inadequate because data for road inspection is collected at 2.5c...

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Online Access:http://hdl.handle.net/2047/d20000906
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spelling ndltd-NEU--neu-12892021-05-25T05:09:39ZDynamic-based video data registrationKnowing the precise location where data is collected is a key feature for automated road inspection, including pavement surface and subsurface condition evaluation. The accuracy of commercially available GPS systems (5 to 10 meters) is inadequate because data for road inspection is collected at 2.5cm or smaller intervals with sensors mounted on vehicles moving at 30 mph or faster. Video data recorded from a camera mounted on the vehicle can provide additional data registration to landmarks in the scene and previously recorded data. However, using video data poses additional challenges including the collection, processing and visualization of vast amounts of data, temporal and spatial registration among different cameras used at different times, natural clutter from unstructured environments, noise, and missing key data due to occlusion or dropped frames.http://hdl.handle.net/2047/d20000906
collection NDLTD
sources NDLTD
description Knowing the precise location where data is collected is a key feature for automated road inspection, including pavement surface and subsurface condition evaluation. The accuracy of commercially available GPS systems (5 to 10 meters) is inadequate because data for road inspection is collected at 2.5cm or smaller intervals with sensors mounted on vehicles moving at 30 mph or faster. Video data recorded from a camera mounted on the vehicle can provide additional data registration to landmarks in the scene and previously recorded data. However, using video data poses additional challenges including the collection, processing and visualization of vast amounts of data, temporal and spatial registration among different cameras used at different times, natural clutter from unstructured environments, noise, and missing key data due to occlusion or dropped frames.
title Dynamic-based video data registration
spellingShingle Dynamic-based video data registration
title_short Dynamic-based video data registration
title_full Dynamic-based video data registration
title_fullStr Dynamic-based video data registration
title_full_unstemmed Dynamic-based video data registration
title_sort dynamic-based video data registration
publishDate
url http://hdl.handle.net/2047/d20000906
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