Advanced Detection, Classification, and Avoidance Toolkit (ADCAT)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,998.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N65538-05-M-0030
Award Id:
70283
Agency Tracking Number:
N043-219-0919
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12152 Windsor Hall Way, Herndon, VA, 20170
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
949183701
Principal Investigator:
Robert Woodley
Scientist
(573) 329-8526
Robert.Woodley@21csi.com
Business Contact:
Lana Stoyen
President
(571) 323-0080
lana@21csi.com
Research Institution:
n/a
Abstract
The need for autonomous unmanned vehicles is becoming more evident. Unmanned surface vehicles (USVs) provide benefits ranging from manpower reduction and force multiplication, to performing missions too dangerous for manned platforms. One of the most critical challenges is the avoidance of obstacles. 21st Century Systems, Incorporated (21CSI) is in the right place at the right time with regard to this topic. Through various SBIR projects for the Navy and other services and agencies, we have developed and refined many of the pieces required to meet this challenge and are pleased to propose to address it. Through our considerable decision support expertise gleaned from development projects on behalf of many DOD agencies and melded with a state-of-the-art image processing technique, we propose to provide state-of-the-art object detection and classification for situation awareness and object avoidance. We call our concept the Advanced Detection, Classification, and Avoidance Toolkit (ADCAT). The general nature of our proposed solution and its expected effectiveness will make it applicable to a wide range of FNC unmanned vehicles. The ADCAT enabling technology, utilizing a computationally efficient algorithm that is robust with respect to geometrical transformations and spatial and temporal variations, will permit object detection and classification for unmanned vehicles.

* information listed above is at the time of submission.

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