Fig 1.
The base imagery data consists of UAV orthophotos independently collected by our research team, with a spatial resolution of 0.5 meter and licensed under CC BY 4.0.
Fig 2.
The location map of the verification area.
The base imagery data consists of UAV orthophotos independently collected by our research team, with a spatial resolution of 0.5 meter and licensed under CC BY 4.0.
Fig 3.
Typical scenarios in curve design.
(A) horizontal turns; (B) uphill/downhill turns; (C) folded ramps with height differences.
Fig 4.
Algorithm process for generating coordinates of curved pavement.
Fig 5.
Simplification of triangular mesh information.
Fig 6.
Comparison between uniform grid division and octree grid division.
Fig 7.
Illustration of octree node division rules.
Fig 8.
Illustration of frustum culling.
Fig 9.
Illustration of screen-space error.
Fig 10.
Results of parametric design for 3D road pavement.
The base imagery data consists of UAV orthophotos independently collected by our research team, with a spatial resolution of 0.5 meter and licensed under CC BY 4.0.
Fig 11.
Route editing parameter settings.
The base imagery data consists of UAV orthophotos independently collected by our research team, with a spatial resolution of 0.5 meter and licensed under CC BY 4.0.
Fig 12.
Road attribute parameter settings.
Fig 13.
Comparison of construction speeds across different modeling methods.
Fig 14.
Comparison of accuracy across different modeling methods.
The base imagery data consists of UAV orthophotos independently collected by our research team, with a spatial resolution of 0.5 meter and licensed under CC BY 4.0.
Fig 15.
Comparison of different data scheduling methods.