Automatic detection of railway masts in air-borne LiDAR data

Ioannis Brilakis & Mahendrini Fernando Ariyachandra
The cost and effort of modelling existing rail infrastructure from point clouds currently outweigh the perceived benefits of the resulting model. The time required for generating a geometric railway information model is roughly ten times greater than laser scanning it. Hence, there is a persistent need to automate this process. The preliminary step is automatically detecting masts from air-borne LiDAR data, as their position and function is critical to the subsequent detection of other elements....
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