"A Scalable Approach to Point Cloud Processing" Presentation by Sravan Puttagunta 2015 Geov8 Expo

Опубликовано: 17 Январь 2025
на канале: Eric Colburn

"A Scalable Approach to Point Cloud Processing" Webinar Presentation By Sravan Puttagunta, CEO of Civil Maps, for the 2015 Geov8 Expo.

Monitoring the health of infrastructure is essential to meet safety regulations and maintain efficient operations. This is currently achieved using a combination of surveying and data processing. Recent advancements in 3D scanning using LiDAR (Light Detection And Ranging) technology have led to a streamlined and efficient surveying process. This however resulted in a dramatic increase in the amount of imaging data collected for every kilometer of surveying. Rudimentary data processing approaches involving point-and-click methods remain the bottleneck, preventing the industry from meeting their safety and operational goals, and fully capitalizing on the powerful capabilities of LiDAR instruments. This talk presents a scalable approach to point-cloud data processing for railroad asset location and health monitoring. Using a cloud-based infrastructure, survey data is uploaded and managed, and asset information extracted into reports. Distributed computing methods are employed to allow a scalable, fast and accurate point-cloud processing methodology.

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