Computer vision for road assets
Published studies explore detection of road assets and pavement damage from imagery.
Example publication ↗The Center of Excellence in Infrastructure Management brings together expertise at Chulalongkorn University to study infrastructure management and share knowledge through research, academic services and education.
Infrastructure supports everyday life and national development. Planning, construction and maintenance require careful decisions about resources, technology and the needs of the people who use these systems. The center’s founding rationale connects these practical questions to multidisciplinary research.
Summary of the center’s original mission and objectives. Read the full statement in English ↗
Research direction
Dr. Pawarotorn Chaipetch and the core research team are driving the center’s next phase, supported by the center’s six advisers. We propose to connect field evidence with analytical and computational methods for better infrastructure decisions.
Core research team: Weerachai Wongweeranimit, Sittinun Thongbai, Theeraruk Maneenart and Nuntawat Lersinghanart.
Meet the team ↗Published studies explore detection of road assets and pavement damage from imagery.
Example publication ↗Research connects pavement friction, materials and maintenance prioritization with engineering decisions.
Example publication ↗Published studies address UAV imagery, multi-camera mapping and spatial data quality.
Example publication ↗These examples establish research expertise, not the status or ownership of current projects.
Research opportunities
The following are proposals, not confirmed active or funded projects. Investigators, dates, data access and scope remain to be agreed by the team.
How do detection models perform across cameras, lighting and road conditions? Compare baselines using independent area and time splits, and report errors by condition. Proposed output: an evaluation report and shareable analysis code.
How sensitive are maintenance priorities to data quality and criterion weights? Compare decision methods and run sensitivity analysis using authorized data. Proposed output: a reproducible workflow and case-study report.
How does mapping error affect asset measurement? Compare survey outputs with independent checkpoints and document uncertainty. Proposed output: a quality-assurance protocol and comparison report.
Research workflows
Explore four AI research directions ↗
Our research group studies civil infrastructure through engineering science, field measurement and data analysis. We plan to use Claude to support literature review, development and review of analysis code, documentation of research workflows, and preparation of technical manuscripts. Researchers will verify references, test generated code and review analytical results. We propose to evaluate usefulness through task completion times, code-test results and researcher review. Seats would be assigned to confirmed group members.
Planned workflows are separate from the methods reported in the cited publications. No program participation or sponsorship is claimed.
Research enquiries · pawarotorn.c@chula.ac.thConnect with the center about research collaboration, academic services and knowledge exchange.
Study & research enquiries