Advanced Detection, Classification, and Avoidance Toolkit (ADCAT)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N65538-05-M-0030
Agency Tracking Number: N043-219-0919
Amount: $69,998.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: N04-219
Solicitation Number: 2004.3
Small Business Information
12152 Windsor Hall Way, Herndon, VA, 20170
DUNS: 949183701
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Woodley
 (573) 329-8526
Business Contact
 Lana Stoyen
Title: President
Phone: (571) 323-0080
Research Institution
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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