Registration of EO and LIDAR using an Interoperability Architecture for Net-Centric Environments (RELIANCE)

Award Information
Agency:
Department of Defense
Branch
Special Operations Command
Amount:
$99,714.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
H92222-09-P-0020
Agency Tracking Number:
S091-003-0015
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
CHARLES RIVER ANALYTICS, INC.
625 Mount Auburn Street, Cambridge, MA, 02138
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
115243701
Principal Investigator:
Dan Gutchess
Senior Software Engineer
(617) 491-3474
dgutchess@cra.com
Business Contact:
Gail Zaslow
Contract Specialist
(617) 491-3474
gzaslow@cra.com
Research Institution:
n/a
Abstract
The "see first, understand first, act first, finish decisively" principle requires that military commanders and analysts be provided a complete, up-to-the-second view of the battlefield. Currently deployed full motion video (FMV) sensors provide crucial real-time situational awareness, but suffer from limited field of view and lack of geographical context. Augmenting current FMV displays with 3D light detecting and ranging (LIDAR) data, geographic information, and real-time intelligence would provide the user with a better understanding of video content in the context of the battlefield. Precise geo-registration is required to enable this type of display; however, existing solutions are limited to specific equipment configurations and have long processing timelines. To address these shortcomings, we propose a system for Registration of EO and LIDAR using an Interoperability Architecture for Net-Centric Environments (RELIANCE). RELIANCE features an interoperability layer to allow integration of various commercial and government off-the-shelf (COTS/GOTS) sensors and visualization software. Geo-registration is performed using a hybrid 2D/3D bundle adjustment technique to refine initial estimates from direct geo-referencing. To handle all types of environments and terrain, bundle adjustment uses two types of tie points selected from video frames: one from 2D-to-2D matching using reference imagery, and one from 3D-to-3D matching using LIDAR data. BENEFITS: This system could be used across all ISR platforms within DoD and law enforcement agencies where accurate geo-location and FMV sensors are used to track or observe targets. In addition to offering great benefit to force protection and perimeter surveillance applications, it could also be used for mapping applications, commercial robotic vision systems, agriculture and environmental studies, and to augment civilian surveying equipment.

* information listed above is at the time of submission.

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