A review of Vision based Methods for Pothole Detection and Road Profile Analysis

Darragh Lydon; Su Taylor; Myra Lydon; Juliana Early

A review of Vision based Methods for Pothole Detection and Road Profile Analysis

Darragh Lydon, Su Taylor, Myra Lydon, Juliana Early

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

Abstract

This paper is an overview of the development and application of Computer Vision for the detection of pothole, pavement distress and road profile analysis and categorisation. A brief explanation of the traditional methods for determining these factors is given, followed by a chronological description of the evolution and the challenges of using Computer Vision (CV) approaches to determine these conditions. The paper is separated into sections aligned to image capture and analysis methodologies. Qualitative evaluations and comparison of these methods have been provided along with the proposal of guidelines for new computer vision-based road analysis systems.

Original language	English
Title of host publication	Civil Engineering Research Association of Ireland (CERI 2020)
Publication status	Published - 27 Aug 2020
Event	CERI 2020 : Civil Engineering Research Ireland - Cork Institute of Technology , Cork, Ireland Duration: 27 Aug 2020 → 28 Aug 2020

Conference

Conference	CERI 2020 : Civil Engineering Research Ireland
Country	Ireland
City	Cork
Period	27/08/2020 → 28/08/2020

Fingerprint Dive into the research topics of 'A review of Vision based Methods for Pothole Detection and Road Profile Analysis'. Together they form a unique fingerprint.

Cite this

@inproceedings{7ac009d79d224cf094cc7116594ebb29,

title = "A review of Vision based Methods for Pothole Detection and Road Profile Analysis",

abstract = "This paper is an overview of the development and application of Computer Vision for the detection of pothole, pavement distress and road profile analysis and categorisation. A brief explanation of the traditional methods for determining these factors is given, followed by a chronological description of the evolution and the challenges of using Computer Vision (CV) approaches to determine these conditions. The paper is separated into sections aligned to image capture and analysis methodologies. Qualitative evaluations and comparison of these methods have been provided along with the proposal of guidelines for new computer vision-based road analysis systems.",

author = "Darragh Lydon and Su Taylor and Myra Lydon and Juliana Early",

year = "2020",

month = aug,

day = "27",

language = "English",

booktitle = "Civil Engineering Research Association of Ireland (CERI 2020)",

note = "CERI 2020 : Civil Engineering Research Ireland ; Conference date: 27-08-2020 Through 28-08-2020",

}

TY - GEN

T1 - A review of Vision based Methods for Pothole Detection and Road Profile Analysis

AU - Lydon, Darragh

AU - Taylor, Su

AU - Lydon, Myra

AU - Early, Juliana

PY - 2020/8/27

Y1 - 2020/8/27

N2 - This paper is an overview of the development and application of Computer Vision for the detection of pothole, pavement distress and road profile analysis and categorisation. A brief explanation of the traditional methods for determining these factors is given, followed by a chronological description of the evolution and the challenges of using Computer Vision (CV) approaches to determine these conditions. The paper is separated into sections aligned to image capture and analysis methodologies. Qualitative evaluations and comparison of these methods have been provided along with the proposal of guidelines for new computer vision-based road analysis systems.

AB - This paper is an overview of the development and application of Computer Vision for the detection of pothole, pavement distress and road profile analysis and categorisation. A brief explanation of the traditional methods for determining these factors is given, followed by a chronological description of the evolution and the challenges of using Computer Vision (CV) approaches to determine these conditions. The paper is separated into sections aligned to image capture and analysis methodologies. Qualitative evaluations and comparison of these methods have been provided along with the proposal of guidelines for new computer vision-based road analysis systems.

M3 - Conference contribution

BT - Civil Engineering Research Association of Ireland (CERI 2020)

T2 - CERI 2020 : Civil Engineering Research Ireland

Y2 - 27 August 2020 through 28 August 2020

ER -