trainer:

Dr. Tamás Lovas

Associate Professor, Head of Department, Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics

Module I.:

POINT CLOUD BASED DATA EXTRACTION
duration: 1 day

ABOUT OUR TRAINER

Dr. Tamás Lovas
Associate Professor, Head of Department, Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics


Since 2001 he has been working on the processing of laser scanned point clouds, his main research interests are the applicability of point clouds in engineering tasks, optimization of workflows. He coordinates higher education courses in the fields of civil engineering, surveying, geoinformatics and BIM.

Memberships of professional organisations:

  • ASPRS (American Society for Photogrammetry and Remote Sensing), 2002-
  • MFTTT (Hungarian Society for Surveying, Mapping and Remote Sensing), 2004-
  • MTA Geodesy Scientific Committee, Subcommittee on Photogrammetry, Remote Sensing and Geoinformatics, 2004-
  • Hungarian BIM Association (founding member, member of the supervisory board), 2014-
WHO DO I RECOMMEND THE COURSE TO?

“Interested in how point cloud data capture technologies can most effectively support your design, construction and operations workflows? The course provides an overview of data ingestion technologies, typical technical parameters and applications. Those who successfully complete the course will be able to select the most appropriate data acquisition technology for a given task, evaluate a given measurement method and plan effective measurement.”

POINT CLOUD BASED DATA EXTRACTION

  • Students will learn the technical requirements needed to provide basic, reliable technical data. These are named and quantified throughout this module.
  • The whole building survey workflow will be presented to the course participants.
  • Important! Students will present their own measurement after the demonstration measurement! They will choose the position of the points, place the tie points, etc.
  • Students will take part in a computer-based exercise “learning by doing”, i.e. with a properly prepared set of data. Here they go through the pre-processing steps necessary to make the raw data applicable in an engineering environment.

Contact

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