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

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