Uncertainty-based 3-d Fusion of Multi-Sensor Aerial Imagery

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$149,898.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-12-M-1459
Agency Tracking Number:
F121-165-1344
Solicitation Year:
2012
Solicitation Topic Code:
AF121-165
Solicitation Number:
2012.1
Small Business Information
Vision Systems, Inc.
72 Water Way, Barrington, RI, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
078330170
Principal Investigator:
Vishal Jain
Computer Vision Scientist
(401) 427-0860
vishal.jain@verizon.net
Business Contact:
Vishal Jain
Computer Vision Scientist
(401) 427-0860
vishal.jain@verizon.net
Research Institution:
Stub




Abstract
ABSTRACT: Multi-sensor fusion is a key capability required for effective inferences for timely and accurate strategy and tactical planning. A multi-sensor fusion technology needs to appropriately weigh different image streams according to the uncertainties and errors across different inputs and parameters such as GPS and INS measurements, sensor model parameters, inherent ambiguities of the data such as localization for featureless region and errors due to registering data in a common frame in each source of data for effective fusion. Vision Systems, Inc. propose to fuse aerial imagery via 3-d models using subjective logic to represent and account for various uncertainties. Additionally, the 3-d models will be registered by computing a 3-d to 3-d transformation. BENEFIT: Remote Sensing, surveying, evacuation and emergency planning, visualization and navigation.

* information listed above is at the time of submission.

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