CivilMaps CEO to Speak at SPAR International

A Scalable Approach to Point Cloud Processing

April 1, 2:00pm at Houston, Texas

Join the CivilMaps team to learn about ways to classify objects in a point cloud at scale.

Abstract: 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 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.