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Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry.

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Bibliographic Details
Title: Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry.
Authors: Lu, Linjun1, Dai, Fei1, fei.dai@mail.wvu.edu
Source: Computer-Aided Civil & Infrastructure Engineering; Jan2023, Vol. 38 Issue 2, p194-210, 17p
Database: Applied Science & Technology Source
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  Data: Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry.
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        Value: 10.1111/mice.12842
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 194
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      – TitleFull: Automated visual surveying of vehicle heights to help measure the risk of overheight collisions using deep learning and view geometry.
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              Text: Jan2023
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              Y: 2023
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