Road surface analysis
Automatic detection of road defects
Imagine that organizations no longer have to send inspectors on the road to fix road defects, and instead damage to roads can be detected with artificial intelligence. And that the severity, extent and classification of the defects can be determined in an objective way, based on high resolution imagery. This has a major impact on the efficiency of road inspection.
Size and position
The LiDAR point cloud of Cyclomedia is an very detailed, 3D representation of public space. With this photorealistic data source, the size and position of a road-defect can be determined exactly.
Experienced road inspectors
The algorithm is trained and validated by Arcadis' experienced road inspectors. These road inspectors contributed their in-depth knowledge of the common methods for classifying road defects inserted into the algorithm. This ensures a constant quality of detection of road defects.