During the project, Guimu Robot's autonomous driving robot was tested to provide insights into road pavement conditions. Through the PoC, its ability to deliver new insights, predict potential issues from a predictive maintenance perspective, and optimize maintenance plans was assessed. The implementation took place in an area of over 22,000 square meters.
The results allowed for:
 

• Identifying surface defects and calculating the Pavement Condition Index (PCI);
• Providing details on structural deterioration (number, type, distribution, dimensions, position, layer);
• Generating a 2D and 3D Model – Digital modeling of the airport's pavement and in situ labeling of all surface damages;
• Guidelines for predictive maintenance: assessing the overall health status of the pavement and suggestions for repairs.