Another feather in SBL’s cap. SBL was recently awarded a Road asset mapping project from mobile point cloud data by a reputed firm of chartered land surveyors in the UK. The project area was mapping a stretch of the A937 highway passing through the town of Laurencekirk, Scotland, UK (see image below).
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Figure 1 – Project extents shown by highlighted blue and green lines
The length of road that was mapped was 2.3 kms and all road furniture (top and bottom of curbs, road edges, hedges and gates and walls etc.) markings (parking marks, bus stop marks etc) was captured to a high degree of accuracy. A major challenge in the project was that the input point cloud data was provided without RGB values since the mobile LiDAR survey was carried out at night.
SBL carried out the detailed mapping from the mobile point cloud data using “as is”, rule without generalizing or offsetting any feature. Cross section views at distances of less than 7m were used to capture the data to the highest possible accuracy. Check out the images below which depict graphically the level of expertise and care that was taken by the team at SBL to execute the project.
Figure 2- Input point cloud data (Isometric View)
Figure 3 – Profile view of the curb drawn with vertexes
Figure 4 – Digitized top and bottom of curbs
Figure 5 – Modelling of street markings
A significant achievement on this project was that SBL provided a “first time right” work with high levels of accuracy in a very short turnaround time of 4 working days. This was possible only because of the dedication and expertise of the LiDAR modelling team of SBL. We hope to come up with more such success stories in the coming days, so stay tuned.
This post first appeared on What You Know About Stereo Rotoscopy?, please read the originial post: here
