Point clouds are an important component in current infrastructure projects, and it is vital to know how to handle them for successful project execution. This class will provide all the necessary information to import, process, and extract information from point cloud data in Autodesk, Inc., architecture, engineering, and construction products. More specifically, this class will teach surface/terrain generation from high-resolution point cloud data in InfraWorks software, and it will demonstrate how to use it in AutoCAD Civil 3D software. The class will also cover how to model city asset features to create a virtual city model, and how to bring those city assets into a design product, such as AutoCAD Civil 3D software, as Coordinate Geometry (COGO) points. This class has no prerequisite. Any knowledge of InfraWorks software, AutoCAD Civil 3D software, and point clouds will be helpful in understanding the class material. At the end of this class, attendees will be able to use point cloud data with ease and confidence for their modeling and design projects. This session features InfraWorks 360 and AutoCAD Civil 3D.
- Learn how to use point cloud visualization for analysis
- Learn how to generate a terrain/surface from point cloud data
- Learn how to use point cloud information between InfraWorks and AutoCAD Civil 3D
- Learn how to model infrastructure assets in InfraWorks using point clouds
Kevin Grover is the regional technology lead and unmanned aircraft systems (UAS) operations manager at Stantec. His group has been collecting, processing, and extracting data from terrestrial and mobile laser scanning for the past 8 years, and with UAS for the past 3. With the amount of data collection technology being utilized at Stantec, Grover is always looking for better ways to capitalize on processing software to enhance and improve data extraction methods. He is leading the growth of UAS operations at Stantec for survey, mapping, and inspection purposes.
Ramesh Sridharan is a product owner in the AEC Product Development Group (PDG) at Autodesk, Inc. His team focuses on creating solutions that enable users to utilize reality-capture data for major infrastructure designs and models. To realize this goal, they work on 3D point-cloud processing, machine learning, and image processing that extracts and models core information content for large, reality-capture, point-cloud data that are used for modeling and design purposes. Before joining Autodesk, he was a chief technology officer at Virtual Geomatics, which was acquired by Autodesk in 2014. As a CTO, he was in charge of product development that focuses on point-cloud information extraction for different infrastructure applications. He has been working with the reality-capture field for more than decade and a half, and he received his postgraduate degree from Indian Institutes of Technology, with research focus on image processing and artificial intelligence.