Autonomous Multi-Sensor Registration Toolkit

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$750,000.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-04-C-1675
Agency Tracking Number:
F031-0658
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ALPHATECH, INC.
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Victor Tom
(781) 273-3388
vtom@alphatech.com
Business Contact:
John Barry
(781) 273-3388
jbarry@alphatech.com
Research Institution:
n/a
Abstract
ALPHATECH proposes to develop a modular system for building and evaluating autonomous multi-sensor geo-registration technologies based on a rigorous mathematical framework and the utilization of a multi-attribute geospatial database. The multi-sensor geo-registration problem is an estimation problem where the objective is to estimate the sensor collection (i.e., sensor/platform position and attitude) parameters that result in the best spatial correspondence of information between the collected sensor data and a model of the real world as represented by a geo-referenced 3-D multi-source fiducial dataset. In Phase I, ALPHATECH developed a multi-sensor, multi-feature representation for the reference dataset and demonstrated key component match algorithms, sensor model updating, and end-to-end registration results. In Phase II we will implement a fiducial database and algorithms to: 1) build experimental fiducial databases over representative sites focusing on FLIR, SAR and GMTI data; 2) develop an experimental infrastructure to automate match (registration) performance evaluation; 3) develop additional match algorithms; 4) develop pre-screening algorithms to determine scene content to adapt registration strategy; 5) perform extensive registration performance evaluation using government supplied multi-sensor datasets; and 6) perform timing and software complexity analysis and algorithm refinement to address issues in eventual integration of this technology in fieldable systems (onboard and ground-based).

* information listed above is at the time of submission.

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