Quality-controlled registration of urban MLS point clouds reducing drift effects by adaptive fragmentation
PositiveArtificial Intelligence
A new study introduces an innovative workflow for registering large-scale mobile laser scanning point clouds in urban settings. This method effectively tackles the challenges posed by varying densities and noise in bustling city environments, ensuring accurate integration of data. This advancement is significant as it enhances the precision of urban modeling, which is crucial for urban planning and development.
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