Towards Assessing Cycleway Pavement Surface Roughness Using an Action Camera with IMU and GPS

Muhammad Hassam Baig, Muhammad Hassam Baig, Jeziel Antonio Ayala Garcia, Waqar Shahid Qureshi, Ihsan Ullah, Ihsan Ullah

2025

Abstract

This paper introduces an autonomous and cost-effective method for assessing cycleway pavement roughness, using an action camera equipped with high-resolution sensors including an Inertial Measurement Unit (IMU) and a Global Positioning System (GPS). The methodology utilizes simplified quarter car model for bicycles, without manual intervention, to calculate International Roughness Index (IRI) for cycleway surface quality evaluation. It utilizes our novel approach to determine stable section from which average acceleration orientation vector is computed. For analysis we propose a corrected-roughness index (CRI), which is a quantized version of IRI. Experiments conducted on asphalt cycleways in Ireland revealed strong correlations between vehicle vibration and surface roughness. Results further demonstrate the consistency of the proposed model across different bikes through comparative analysis. Observations indicate bias in vibration data, influenced by different tire sizes and the mechanical features of the bicycles.

Paper Citation

in Harvard Style

Baig M., Ayala Garcia J., Qureshi W. and Ullah I. (2025). Towards Assessing Cycleway Pavement Surface Roughness Using an Action Camera with IMU and GPS. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 247-255. DOI: 10.5220/0013504900003941

in Bibtex Style

@conference{vehits25,
author={Muhammad Hassam Baig and Jeziel Ayala Garcia and Waqar Qureshi and Ihsan Ullah},
title={Towards Assessing Cycleway Pavement Surface Roughness Using an Action Camera with IMU and GPS},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={247-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013504900003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Towards Assessing Cycleway Pavement Surface Roughness Using an Action Camera with IMU and GPS
SN - 978-989-758-745-0
AU - Baig M.
AU - Ayala Garcia J.
AU - Qureshi W.
AU - Ullah I.
PY - 2025
SP - 247
EP - 255
DO - 10.5220/0013504900003941
PB - SciTePress