You are here

Automating Procedural Modeling of Buildings from Point Cloud Data

Award Information
Agency: Department of Defense
Branch: National Geospatial-Intelligence Agency
Contract: HM047619C0064
Agency Tracking Number: NGA-P1-19-06
Amount: $99,790.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NGA183-002
Solicitation Number: 18.3
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-07-09
Award End Date (Contract End Date): 2020-04-14
Small Business Information
3504 Lake Lynda Drive, Suite 170
Orlando, FL 32817
United States
DUNS: 175966675
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Stephen Eckman
 Principal System Engineer
 (407) 601-7847
 seckman@dignitastechnologies.com
Business Contact
 Elizabeth Burch
Phone: (407) 601-7847
Email: admin@dignitastechnologies.com
Research Institution
N/A
Abstract

Newer techniques in data collection such as Lidar and photogrammetry can provide large quantities of accurate and up-to-date source data models in operational areas, but transforming this often massive amount of raw source data into a lightweight 3D representation that can be quickly consumed by defense customers using a web browser or mobile devices remains a challenging problem. While point cloud data is increasing in availability, collection frequency, volume and density, the ability to efficiently transmit a meaningful interactive 3D representation of the data remains constrained by connection availability, reliability, and bandwidth. This research task aims to identify a standards-based system to rapidly produce a simplified representation of input sensor data and make it available at the point of need while respecting the connectivity constraints of the end user.One solution is to utilize procedurally generated models—models that are recreated from key data attributes extracted from the source point cloud data. Such models can be generated from procedural rules that utilize extracted point cloud feature attributes as data inputs to guide the building generation process, allowing for reproduction of the original building in a geometric form that requires substantially less processing power, bandwidth, and memory on an end-user platform.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government