Advanced Algorithms for Prediction, Display, and Visualization of Moving Targets

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W15QKN-06-C-0003
Award Id:
73824
Agency Tracking Number:
A052-004-3549
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Suite A, 75 Aero Camino, Goleta, CA, 93117
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
RobertWilkerson
Analyst
(805) 685-3601
rwilkerson@toyon.com
Business Contact:
MarcellaLindbery
Director of Contracts
(805) 968-6787
mlindbery@toyon.com
Research Institute:
n/a
Abstract
Toyon Research Corporation proposes to develop an algorithm for the display and visualization of ground vehicle movement predictions based upon sequential Monte Carlo sampling techniques, or particle filters. Ground vehicle movement comprises a vast number of nonlinear elements imposed by operational factors such as terrain, weather, movement characteristics, and tactics that make the prediction problem difficult to formulate. Often such nonlinearities are discarded, but doing so limits the precision of the resulting prediction; an undesired consequence when human operators must make decisions based upon the predictions they receive. Thus, a prediction algorithm is required that provides both a coherent display of the probable movement, and incorporates nonlinear factors that affect the vehicle's motion. Particle filtering methods provide a fitting solution to such an application due to their acceptance of nonlinearities in the dynamic model of the system, and their natural ability to formulate an intuitive visual representation of the uncertainty in the prediction. At the conclusion of Phase I, Toyon will demonstrate a ground vehicle movement prediction algorithm that fuses battlespace information into a particle filter state estimator to provide accurate predicted PDFs for display.

* information listed above is at the time of submission.

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