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Buoyant Active Sensor System (BASS) for Riverine Mapping

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0332
Agency Tracking Number: N10A-024-0695
Amount: $69,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T024
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-28
Award End Date (Contract End Date): 2011-04-30
Small Business Information
500 West Cummings Park - Ste 3000
Woburn, MA 01801
United States
DUNS: 859244204
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Eric Wemhoff
 Principal Investigator
 (781) 933-5355
Business Contact
 Jay Miselis
Title: Corporate Controller
Phone: (781) 933-5355
Research Institution
 UC Berkeley
 Alexandre Bayen
642 Sutardja Dai Hall CITRIS Building
Berkeley, CA 94720
United States

 (510) 642-2468
 Nonprofit College or University

There is need for fast, easy-to-operate, and low-risk methods for mapping geography, velocity, and bathymetry of rivers. River charts can be nonexistent or inadequate because of changes in water volume, tides, sediment transport, flooding, and other events. This is a hindrance and a hazard for navigation and other operations. Currently, procedures to map rivers involve navigating surface vessels into regions with significant uncertainty, which can be labor-intensive and dangerous. A better alternative is possible using low-cost sensors that float downstream, collecting data. Passive "drifters" have proven useful to research groups mapping ocean currents. However, faster flows and more constricted morphology in rivers present challenges. Passive floating sensors converge to similar streamlines and thus geographic coverage is limited, and can also get trapped or damaged by river features. In this program we will combine SSCI's technical and algorithmic expertise in autonomous vehicles, planning and decision making, and bathymetric mapping, and UC Berkeley's practical hands-on experience with self-propelled floating riverine sensors, for river modeling and mapping. We will design a system of collaborative, autonomous, self-propelled sensor vehicles and core strategies that will optimize the time, effort, cost, and risk necessary to successfully map rivers.

* Information listed above is at the time of submission. *

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