Dynamic Sampling and Control for Automated Road Pre-Marking Robot

This study introduces a specialized pre-marking robotic system that boasts a high degree of autonomy in response to low efficiency and inaccuracy in pre-marking operations for road delineations on newly constructed roads. The system is designed for autonomous navigation and precise spray-painting of road markings. It employs dynamic point sampling technology, enabling continuous and real-time acquisition of road coordinate information, thereby significantly improving pre-marking efficiency. A three-point circle correction method is implemented to generate the robot’s target path that includes curvature information. A curvature-adaptive pure pursuit control strategy is executed to ensure high-precision tracking of the pre-marking robot along the target path. Simulation experiments have confirmed the effectiveness and reliability of the robotic system. Practical applications reveal a marking error of less than 1.5 cm in long curved road scenario and 2 cm in right-angle curve road scenario. This result achieves efficient and accurate pre-marking operations and provides substantial technical support for road construction and maintenance.

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Publication Details

Journal
Journal of Advanced Computational Intelligence and Intelligent Informatics
Published
2025-07-19
DOI
https://doi.org/10.20965/jaciii.2025.p0921
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic Sampling and Control for Automated Road Pre-Marking Robot

Juexuan Chen, Meng Wang, Xue Lv, Lang Zhu et al.
Journal of Advanced Computational Intelligence and Intelligent Informatics
Infrastructure Maintenance and Monitoring
article

Dynamic Sampling and Control for Automated Road Pre-Marking Robot

Juexuan Chen, Meng Wang, Xue Lv, Lang Zhu, Yan Lü, Zhu Shan-an
article en

Abstract

This study introduces a specialized pre-marking robotic system that boasts a high degree of autonomy in response to low efficiency and inaccuracy in pre-marking operations for road delineations on newly constructed roads. The system is designed for autonomous navigation and precise spray-painting of road markings. It employs dynamic point sampling technology, enabling continuous and real-time acquisition of road coordinate information, thereby significantly improving pre-marking efficiency. A three-point circle correction method is implemented to generate the robot’s target path that includes curvature information. A curvature-adaptive pure pursuit control strategy is executed to ensure high-precision tracking of the pre-marking robot along the target path. Simulation experiments have confirmed the effectiveness and reliability of the robotic system. Practical applications reveal a marking error of less than 1.5 cm in long curved road scenario and 2 cm in right-angle curve road scenario. This result achieves efficient and accurate pre-marking operations and provides substantial technical support for road construction and maintenance.

Journal of Advanced Computational Intelligence and Intelligent InformaticsVol. 29(4)
University of Toronto (CA), Suzhou Research Institute (CN)
Natural Science Foundation of Hubei Province
Sustainable cities and communities
Openalex Percentile: Top 80%
Infrastructure Maintenance and Monitoring
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