The Platform for Extracting Features From LiDAR Data Decreased the Manual Processing Time by 60%

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Client

A diverse company offering utility engineering, GIS data management services, and subsurface utility engineering.

Challenge
  • To create a relational database with multiple attributes for hydropoles using LiDAR mobile data to optimize feature extraction and create automated algorithms for attribute calculation minimizing delivery time.

Benefits and Results
  • The manual processing time decreased by 60%, and QC algorithms helped to provide precise data.

  • The approach could be adjusted for similar projects based on mobile LiDAR data.

  • Highly detailed surface models were created for automatic calculation.

  • Created with the help of Excel capabilities flexible tool optimized the process of marking attributes.