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.
Authors
- Juexuan Chen (ORCID: https://orcid.org/0000-0002-4307-4208)
- Meng Wang (ORCID: https://orcid.org/0000-0001-5013-7986)
- Xue Lv
- Lang Zhu
- Yan Lü (ORCID: https://orcid.org/0000-0001-6907-0443)
- Zhu Shan-an (ORCID: https://orcid.org/0009-0002-6463-9682)
Institutions
- University of Toronto (CA)
- Suzhou Research Institute (CN)
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
Funders
- Natural Science Foundation of Hubei Province