SAN JOSE, CA–October 20, 2008–CG2, Inc., a wholly owned subsidiary of Quantum3D, announced today that Phase II of its Light Detection and Ranging (LIDAR) Database Generation Process is nearly complete. The initiative converts LIDAR scans into visual database terrain and models, an activity that includes placement of natural and manmade features, with little or no human interaction. The effort is part of a Small Business Innovation Research (SBIR) project Phase II awarded in February 2007 and sponsored by Naval Air Systems Command (NAVAIR).

A key objective of this initiative is to minimize the manual labor required to build simulation environments by processing high-resolution LIDAR data. Using sophisticated automation and process acceleration that leverages the latest GPU technologies, the CG2 LIDAR Database Generation Process has been successful in identifying trees, buildings, roads and the terrain profile within the LIDAR point cloud, and then converting these features into visual database components.

Preliminary tests have focused on collecting and aligning multiple, overlapping data scans from an airborne vehicle’s passes over an area. The results suggest that this process delivers a more complete area with greater fidelity that has the combined LIDAR source points in their correct geospatial positions. In order to discern building details, such as windowsills and doorknobs, the system is designed to handle LIDAR data that has been collected at oblique angles with a source-data density of up to 6-cm (2.4-inch) precision.

The capability to use high volumes of merged, geospatially accurate LIDAR data will be especially valuable in the construction of visual databases for the battlefield, including military operations in urban terrain and battle-damage assessments. Translation to a visual scene may enable Special Forces operatives to visualize and identify actionable intelligence and quickly rehearse a mission within the virtual representation of the environment.

Doug Hyttinen, NAVAIR technical point of contact and visual engineer, stated, "The intent of this Phase II effort is to combine multiple point clouds of LIDAR data into one correlated point cloud, and then derive polygonal geometry models representing the point cloud."

Labor Reduction from Weeks to Hours
Current database-generation techniques may require days or weeks of manual editing and the original source data may be years out of date. One of the key capabilities being developed in Phase II of this project has been the ability to view the unprocessed LIDAR data in 3D, align the data and correct any geospatial error within seconds.

For more information about CG2 and Quantum3D, please visit www.quantum3d.com or contact salesinfo@cg2.com

####