Article: A PSO-based method for road rut measurement with line-structured light Journal: International Journal of Vehicle Systems Modelling and Testing (IJVSMT) 2025 Vol.19 No.2 pp.171 - 195 Abstract: Road rut depth is a vital metric for evaluating pavement quality, traditionally measured manually but now assessed using automatic laser-based devices for the efficient data collection. This technique faces challenges due to the complex and variable nature of rut profiles and road conditions, leading to inconsistencies and interference from lane edges and debris. This study presents a novel method for rapid and precise rut depth measurement by employing line-structured light technology integrated with the inertial measurement unit (IMU) and global position system (GPS) sensors. The device undergoes meticulous calibration for accurate 3D road surface data acquisition, involving both line-structured light and positioning sensor calibrations. The collected high-resolution data is then refined using particle swarm optimisation (PSO) algorithms to enhance the accuracy of rut depth estimates. Experimental results demonstrate that this method not only improves the measurement accuracy and efficiency but also shows strong adaptability, making it a reliable tool for the road quality assessment. Inderscience Publishers - linking academia, business and industry through research

Title: A PSO-based method for road rut measurement with line-structured light

Authors: Yuanbo Mu; Qingzhou Mao; Guangqi Wang; Chaowen Tu; Dehui Lai

Addresses: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430072, China ' Hubei Luojia Laboratory, Wuhan, 430072, China ' School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430072, China ' Wuhan XIRUI Optical-Electronical Co., Ltd., Wuhan, 430072, China ' Wuhan Hirail Profiling Technology Co., Ltd., Wuhan, 430072, China

Abstract: Road rut depth is a vital metric for evaluating pavement quality, traditionally measured manually but now assessed using automatic laser-based devices for the efficient data collection. This technique faces challenges due to the complex and variable nature of rut profiles and road conditions, leading to inconsistencies and interference from lane edges and debris. This study presents a novel method for rapid and precise rut depth measurement by employing line-structured light technology integrated with the inertial measurement unit (IMU) and global position system (GPS) sensors. The device undergoes meticulous calibration for accurate 3D road surface data acquisition, involving both line-structured light and positioning sensor calibrations. The collected high-resolution data is then refined using particle swarm optimisation (PSO) algorithms to enhance the accuracy of rut depth estimates. Experimental results demonstrate that this method not only improves the measurement accuracy and efficiency but also shows strong adaptability, making it a reliable tool for the road quality assessment.

Keywords: rut depth; line-structured light; 3D measurement; PSO; particle swarm optimisation.

DOI: 10.1504/IJVSMT.2025.147354

International Journal of Vehicle Systems Modelling and Testing, 2025 Vol.19 No.2, pp.171 - 195

Received: 17 Oct 2024
Accepted: 21 Feb 2025
Published online: 14 Jul 2025 *

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Title: A PSO-based method for road rut measurement with line-structured light

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