CURVE (Coordinated UAV Routing in Variable Environments)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,417.00
Award Year:
2004
Program:
STTR
Phase:
Phase I
Contract:
N00014-04-M-0323
Award Id:
70393
Agency Tracking Number:
N045-003-0085
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
40201 Highway 190 East, Slidell, LA, 70461
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
788021749
Principal Investigator:
Donald Delbalzo
Senior Scientist
(985) 649-7252
delbalzo@neptunesci.com
Business Contact:
Marshall Earle
President
(985) 649-7252
md.earle@neptunesci.com
Research Institution:
University of New Orleans
Xiao-Rong Li
Office of Research and Sponsor, CERM Bldg., Room No. 422 Lak
New Orleans, LA, 70148
(504) 280-7489
Nonprofit college or university
Abstract
The objective is to determine the best algorithmic approach to optimally select unmanned vehicle flight paths that maximize mission success for attached sensors. That involves trade-offs between a) active emissions and passive collections, b) high and low altitudes, c) high and low speeds, d) day and night operations, e) rough and smooth terrain, f) accuracy and efficiency, etc. The solutions will optimize altitude and speed, accounting for the tradeoff between mission success, sensor performance, fuel efficiency, and vulnerability. The solution will involve a strategy for active emissions that considers target reaction. Optimal emission strategies (in space and time) will be evaluated that cause desired threat behavior (i.e., herding), so that passive sensor performance will be enhanced. The solution will represent a blend of accuracy and efficiency, and the operator will have control over this trade-off. Quick calculations (with loss in accuracy) are required in order to plan over large areas or to consider and choose between many reasonable plans. A layered, iterative approach will be followed so that intermediate solutions can be considered automatically. Physical assumptions and constraints will be relaxed, in an objective controlled way, in order to achieve the correct blend of accuracy and efficiency.

* information listed above is at the time of submission.

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