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

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
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 -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Uncertainty-based 3-d Fusion of Multi-Sensor Aerial Imagery
Agency: DOD
Contract: FA8650-12-M-1459
Award Amount: $149,898.00
 

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.

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
Small Business Information at Submission:

Vision Systems, Inc.
72 Water Way Barrington, RI -

EIN/Tax ID: 454070043
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No