Laboratory trial of a system for vision based road profile analysis detection using stereo vision

Myra Lydon

Laboratory trial of a system for vision based road profile analysis detection using stereo vision

Civil Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 ; Conference date: 30-06-2021 Through 02-07-2021

Original language	English (Ireland)
Title of host publication	Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-10)
Publisher	International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Number of pages	5
Publication status	Published - 1 Jun 2021

Authors (Note for portal: view the doc link for the full list of authors)

Authors
D. Lydon and C. O'Higgins and M. Lydon and J. Early and Taylor, S. E.

Cite this

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title = "Laboratory trial of a system for vision based road profile analysis detection using stereo vision",

abstract = "10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 ; Conference date: 30-06-2021 Through 02-07-2021",

author = "Myra Lydon",

year = "2021",

month = jun,

day = "1",

language = "English (Ireland)",

booktitle = "Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-10)",

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Laboratory trial of a system for vision based road profile analysis detection using stereo vision. / Lydon, Myra.
Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-10). International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII, 2021.

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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Laboratory trial of a system for vision based road profile analysis detection using stereo vision

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

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Cite this