Vision-based sensing for assessing and monitoring civil infrastructures

Y. F. Ji; C. C. Chang

doi:10.1533/9780857099136.383

Vision-based sensing for assessing and monitoring civil infrastructures

Y. F. Ji^*, C. C. Chang

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Recently, vision-based measurement techniques have emerged as an important non-destructive evaluation (NDE) method, due to the availability of low cost but high image resolution commercial digital cameras and effective image processing algorithms. In this chapter, some important issues that might affect the accuracy of the vision-based measurement techniques are presented and discussed. Results from laboratory tests and field tests are obtained to illustrate the accuracy and applicability of some vision-based measurement techniques.

Original language	English
Title of host publication	Sensing Hardware and Data Collection Methods for Performance Assessment
Publisher	Elsevier Inc.
Pages	383-409
Number of pages	27
Volume	1
ISBN (Print)	9780857094322
DOIs	https://doi.org/10.1533/9780857099136.383
Publication status	Published - Apr 2014
Externally published	Yes

Keywords

Computer vision
Displacement measurement
Photogrammetry
Videogrammetry

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10.1533/9780857099136.383

Cite this

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abstract = "Recently, vision-based measurement techniques have emerged as an important non-destructive evaluation (NDE) method, due to the availability of low cost but high image resolution commercial digital cameras and effective image processing algorithms. In this chapter, some important issues that might affect the accuracy of the vision-based measurement techniques are presented and discussed. Results from laboratory tests and field tests are obtained to illustrate the accuracy and applicability of some vision-based measurement techniques.",

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AU - Ji, Y. F.

AU - Chang, C. C.

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AB - Recently, vision-based measurement techniques have emerged as an important non-destructive evaluation (NDE) method, due to the availability of low cost but high image resolution commercial digital cameras and effective image processing algorithms. In this chapter, some important issues that might affect the accuracy of the vision-based measurement techniques are presented and discussed. Results from laboratory tests and field tests are obtained to illustrate the accuracy and applicability of some vision-based measurement techniques.

KW - Computer vision

KW - Displacement measurement

KW - Photogrammetry

KW - Videogrammetry

UR - https://openalex.org/W1516717610

UR - https://www.scopus.com/pages/publications/84902605481

U2 - 10.1533/9780857099136.383

DO - 10.1533/9780857099136.383

M3 - Book Chapter

SN - 9780857094322

VL - 1

SP - 383

EP - 409

BT - Sensing Hardware and Data Collection Methods for Performance Assessment

PB - Elsevier Inc.

ER -

Vision-based sensing for assessing and monitoring civil infrastructures

Abstract

Keywords

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