Description
Key Learnings
- Learn about the process of publishing a point cloud to the cloud.
- Learn about performing linear feature extraction in the cloud.
- Benefit from a simplified but highly accurate surface model.
- Learn how to create and publish as-built information.
Speakers
- JSJohn SayreJohn Sayre is a Technical Marketing Manager for Civil Infrastructure with Autodesk. Prior to working for Autodesk, he was a Civil Application Engineer, teaching the products inside if the AEC Collection. John has 29 years Civil Engineering experience running the gambit on all types of projects Residential, Commercial, and Industrial. John has been with Autodesk for 10 years.
- Ramesh SridharanRamesh Sridharan has versatile experience in civil infrastructure, including civil engineering, reality capture point clouds, GIS, image processing, and machine learning-based software development for over two decades. With over 20 years of experience, he has successfully driven programs in research and development, technical sales, partner marketing, product management, and customer analysis. He has experience working with customers to understand and set industry workflows that drive the technology forward. He is an expert in pushing technology to its limits and converting research findings into products that users can apply to real-life problems. He is a pioneer in reality capture point clouds that can handle and extract information from a large number of 3D datasets. Ramesh is one of the product managers for infrastructure products in Autodesk leading Reality solutions and ESRI partnership, to name a few. Ramesh is a post-graduate of the Indian Institute of Technology with a research focus in Image Processing and Artificial Intelligence.
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