Insect Small Target Motion Detection for Seeker Applications

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-03-M-0171
Agency Tracking Number: N022-0625
Amount: $69,877.00
Phase: Phase I
Program: SBIR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
2650 East Foothill Boulevard, Mailstop 100, Pasadena, CA, 91107
DUNS: 195754056
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Patrick Shoemaker
 Senior Scientist
 (626) 792-3000
Business Contact
 Kevin Dinniene
Title: Controller
Phone: (626) 792-3000
Research Institution
Insects display remarkable capabilities for guidance and directed flight based on their visual sense. If duplicated in autonomous flying weapons, these capabilities could greatly enhance their effectiveness. Recent work has begun to shed light on a classof neurons present in the visual systems of several insect species, which respond selectively to small moving targets. These cells, dubbed Small Target Motion Detectors (STMDs) are distinct from the FD cells that have been studied in dipterans, in theirpreference for point or near-point targets. STMDs are the subject of an ongoing AFOSR-sponsored collaborative effort between Tanner Research and neurobiologists at Adelaide University, to study their physiology in depth and model their operationneurobiologically and in silicon. We propose (in further collaboration) to study the response of these cells and application of models for them to the problem of detecting and pursuing a moving ground target from an approaching air platform. Issues such ashow these cells and the whole organism respond to moving clutter induced by egomotion will be addressed. Tracking of small moving targets is a capability of insect visual motion processing that would be directly useful for air-to-surface autonomousweapons, as well as surface-to-air and air-to-air interceptors, and small autonomous flying vehicles. It is also expected to have applications to problems in surveillance and collision avoidance.

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

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