Vision-Based Multi-perspective Road Pre-damage Detection

Christos Vlachakis; Alix Marie d’Avigneau; Damian Palin; Georgios M. Hadjidemetriou; Hussameldin M. Taha; Sripriya Rengaraju; Nzebo Richard Anvo; Mark Girolami; Abir Al-Tabbaa

doi:10.1007/978-3-032-04774-8_39

Vision-Based Multi-perspective Road Pre-damage Detection

Christos Vlachakis^*, Alix Marie d’Avigneau, Damian Palin, Georgios M. Hadjidemetriou, Hussameldin M. Taha, Sripriya Rengaraju, Nzebo Richard Anvo, Mark Girolami, Abir Al-Tabbaa

^*Corresponding author for this work

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Road condition evaluation is essential for selecting maintenance strategies to prevent road failures. However, current road evaluation methods are subjective, manually performed and time-consuming, while road maintenance is mostly reactive with associated risks, such as possible network disruptions. Presented herein is a vision-based methodology for road inspection and evaluation. For this purpose, we couple digital image correlation (DIC) with perspective warping to measure material displacement or strain that can be an early warning of pavement failure. Our results show that perspective warped images were able to be successfully used in DIC analysis and obtain strain values within 19% of the images taken at a direct angle to the sample. Perspective warping enables us to bypass the limitation of fixed DIC applications and allows for the collection of images from mobile cameras such as everyday cars in motion. This provides new opportunities for the effective prediction of road damage formation and consequently predictive maintenance.

Original language	English
Title of host publication	Transport Transitions: Advancing Sustainable and Inclusive Mobility
Subtitle of host publication	Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure
Editors	Ciaran McNally, Páraic Carroll, Beatriz Martinez-Pastor, Bidisha Ghosh, Marina Efthymiou, Nikolaos Valantasis-Kanellos
Publisher	Springer
Pages	264-270
Number of pages	7
Edition	1
ISBN (Electronic)	9783032047748
ISBN (Print)	9783032047731
DOIs	https://doi.org/10.1007/978-3-032-04774-8_39
Publication status	Published - 4 Oct 2025
Event	Transport Research Arena 2024 - RDS, Dublin, Ireland Duration: 15 Apr 2024 → 18 Apr 2024 https://traconference.eu/

Publication series

Name	Lecture Notes in Mobility
Publisher	Springer
ISSN (Print)	2196-5544
ISSN (Electronic)	2196-5552

Conference

Conference	Transport Research Arena 2024
Country/Territory	Ireland
City	Dublin
Period	15/04/24 → 18/04/24
Internet address	https://traconference.eu/

Bibliographical note

Copyright:
© The Author(s) 2026.

Keywords

Computer Vision
Digital Image Correlation
Material Strain
Pavement Defect Detection
Perspective Warping
Predictive Maintenance

ASJC Scopus subject areas

Control and Systems Engineering
Automotive Engineering
Transportation
Energy (miscellaneous)

Access to Document

10.1007/978-3-032-04774-8_39Licence: Creative Commons: Attribution (CC BY)

Cite this

Vlachakis, C., d’Avigneau, A. M., Palin, D., Hadjidemetriou, G. M., Taha, H. M., Rengaraju, S., Anvo, N. R., Girolami, M., & Al-Tabbaa, A. (2025). Vision-Based Multi-perspective Road Pre-damage Detection. In C. McNally, P. Carroll, B. Martinez-Pastor, B. Ghosh, M. Efthymiou, & N. Valantasis-Kanellos (Eds.), Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure (1 ed., pp. 264-270). (Lecture Notes in Mobility). Springer. https://doi.org/10.1007/978-3-032-04774-8_39

Vlachakis, Christos ; d’Avigneau, Alix Marie ; Palin, Damian et al. / Vision-Based Multi-perspective Road Pre-damage Detection. Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure. editor / Ciaran McNally ; Páraic Carroll ; Beatriz Martinez-Pastor ; Bidisha Ghosh ; Marina Efthymiou ; Nikolaos Valantasis-Kanellos. 1. ed. Springer, 2025. pp. 264-270 (Lecture Notes in Mobility).

@inproceedings{e2b4d999cfd341aead2183655d223879,

title = "Vision-Based Multi-perspective Road Pre-damage Detection",

abstract = "Road condition evaluation is essential for selecting maintenance strategies to prevent road failures. However, current road evaluation methods are subjective, manually performed and time-consuming, while road maintenance is mostly reactive with associated risks, such as possible network disruptions. Presented herein is a vision-based methodology for road inspection and evaluation. For this purpose, we couple digital image correlation (DIC) with perspective warping to measure material displacement or strain that can be an early warning of pavement failure. Our results show that perspective warped images were able to be successfully used in DIC analysis and obtain strain values within 19\% of the images taken at a direct angle to the sample. Perspective warping enables us to bypass the limitation of fixed DIC applications and allows for the collection of images from mobile cameras such as everyday cars in motion. This provides new opportunities for the effective prediction of road damage formation and consequently predictive maintenance.",

keywords = "Computer Vision, Digital Image Correlation, Material Strain, Pavement Defect Detection, Perspective Warping, Predictive Maintenance",

author = "Christos Vlachakis and d{\textquoteright}Avigneau, \{Alix Marie\} and Damian Palin and Hadjidemetriou, \{Georgios M.\} and Taha, \{Hussameldin M.\} and Sripriya Rengaraju and Anvo, \{Nzebo Richard\} and Mark Girolami and Abir Al-Tabbaa",

note = "Copyright: {\textcopyright} The Author(s) 2026.; Transport Research Arena 2024 ; Conference date: 15-04-2024 Through 18-04-2024",

year = "2025",

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doi = "10.1007/978-3-032-04774-8\_39",

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editor = "Ciaran McNally and P{\'a}raic Carroll and Beatriz Martinez-Pastor and Bidisha Ghosh and Marina Efthymiou and Nikolaos Valantasis-Kanellos",

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Vlachakis, C, d’Avigneau, AM, Palin, D, Hadjidemetriou, GM, Taha, HM, Rengaraju, S, Anvo, NR, Girolami, M & Al-Tabbaa, A 2025, Vision-Based Multi-perspective Road Pre-damage Detection. in C McNally, P Carroll, B Martinez-Pastor, B Ghosh, M Efthymiou & N Valantasis-Kanellos (eds), Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure. 1 edn, Lecture Notes in Mobility, Springer, pp. 264-270, Transport Research Arena 2024, Dublin, Ireland, 15/04/24. https://doi.org/10.1007/978-3-032-04774-8_39

Vision-Based Multi-perspective Road Pre-damage Detection. / Vlachakis, Christos; d’Avigneau, Alix Marie; Palin, Damian et al.
Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure. ed. / Ciaran McNally; Páraic Carroll; Beatriz Martinez-Pastor; Bidisha Ghosh; Marina Efthymiou; Nikolaos Valantasis-Kanellos. 1. ed. Springer, 2025. p. 264-270 (Lecture Notes in Mobility).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Vision-Based Multi-perspective Road Pre-damage Detection

AU - Vlachakis, Christos

AU - d’Avigneau, Alix Marie

AU - Palin, Damian

AU - Hadjidemetriou, Georgios M.

AU - Taha, Hussameldin M.

AU - Rengaraju, Sripriya

AU - Anvo, Nzebo Richard

AU - Girolami, Mark

AU - Al-Tabbaa, Abir

N1 - Copyright: © The Author(s) 2026.

PY - 2025/10/4

Y1 - 2025/10/4

N2 - Road condition evaluation is essential for selecting maintenance strategies to prevent road failures. However, current road evaluation methods are subjective, manually performed and time-consuming, while road maintenance is mostly reactive with associated risks, such as possible network disruptions. Presented herein is a vision-based methodology for road inspection and evaluation. For this purpose, we couple digital image correlation (DIC) with perspective warping to measure material displacement or strain that can be an early warning of pavement failure. Our results show that perspective warped images were able to be successfully used in DIC analysis and obtain strain values within 19% of the images taken at a direct angle to the sample. Perspective warping enables us to bypass the limitation of fixed DIC applications and allows for the collection of images from mobile cameras such as everyday cars in motion. This provides new opportunities for the effective prediction of road damage formation and consequently predictive maintenance.

AB - Road condition evaluation is essential for selecting maintenance strategies to prevent road failures. However, current road evaluation methods are subjective, manually performed and time-consuming, while road maintenance is mostly reactive with associated risks, such as possible network disruptions. Presented herein is a vision-based methodology for road inspection and evaluation. For this purpose, we couple digital image correlation (DIC) with perspective warping to measure material displacement or strain that can be an early warning of pavement failure. Our results show that perspective warped images were able to be successfully used in DIC analysis and obtain strain values within 19% of the images taken at a direct angle to the sample. Perspective warping enables us to bypass the limitation of fixed DIC applications and allows for the collection of images from mobile cameras such as everyday cars in motion. This provides new opportunities for the effective prediction of road damage formation and consequently predictive maintenance.

KW - Computer Vision

KW - Digital Image Correlation

KW - Material Strain

KW - Pavement Defect Detection

KW - Perspective Warping

KW - Predictive Maintenance

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DO - 10.1007/978-3-032-04774-8_39

M3 - Conference contribution

AN - SCOPUS:105017965461

SN - 9783032047731

T3 - Lecture Notes in Mobility

SP - 264

EP - 270

BT - Transport Transitions: Advancing Sustainable and Inclusive Mobility

A2 - McNally, Ciaran

A2 - Carroll, Páraic

A2 - Martinez-Pastor, Beatriz

A2 - Ghosh, Bidisha

A2 - Efthymiou, Marina

A2 - Valantasis-Kanellos, Nikolaos

PB - Springer

T2 - Transport Research Arena 2024

Y2 - 15 April 2024 through 18 April 2024

ER -

Vlachakis C, d’Avigneau AM, Palin D, Hadjidemetriou GM, Taha HM, Rengaraju S et al. Vision-Based Multi-perspective Road Pre-damage Detection. In McNally C, Carroll P, Martinez-Pastor B, Ghosh B, Efthymiou M, Valantasis-Kanellos N, editors, Transport Transitions: Advancing Sustainable and Inclusive Mobility: Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland, Volume 5: Smart Resilient Infrastructure. 1 ed. Springer. 2025. p. 264-270. (Lecture Notes in Mobility). Epub 2025 Oct 3. doi: 10.1007/978-3-032-04774-8_39

Vision-Based Multi-perspective Road Pre-damage Detection

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this