Attention-Based Vision for Autonomous Vehicles

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,823.00
Award Year:
2014
Program:
SBIR
Phase:
Phase I
Contract:
N00014-14-P-1170
Award Id:
n/a
Agency Tracking Number:
N141-076-0322
Solicitation Year:
2014
Solicitation Topic Code:
N141-076
Solicitation Number:
2014.1
Small Business Information
145 Lake Drive, Suite 104, Wexford, PA, 15090-
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
831883868
Principal Investigator:
Mark Ollis
Director of R&D
(724) 799-8078
marko@neyasystems.com
Business Contact:
Parag Batavia
President
(724) 799-8078
paragb@neyasystems.com
Research Institute:
n/a
Abstract
Humans are continually subjected to an overwhelming stream of visual, auditory, olfactory, and touch stimuli. We operate effectively because we are capable of focusing attention on the relevant items, and capable of accurately perceiving tiny discrepancies that are most relevant to our survival while ignoring broad swaths of superfluous data. Our ability to quickly key in on the most relevant sensory data can be shown clearly in, for example, measurements of eye-saccade patterns: when presented with an image of a face, humans focus attention on the most informative parts of an expression, the eyes and mouth, which provide important cues as to the intention and attitude of the individual. Current autonomous systems lack this ability to rapidly focus on the most critical data, and suffer several deficiencies as a result. First, they are too brittle: they fail to adapt effectively to changing requirements and conditions typical of military applications. Second, they are too slow: Third, they make mistakes, failing to handle simple navigation and recognition tasks easily handled by humans. Drawing inspiration from recent understanding in human cognition and sensor processing, we propose SACCADE, a system to rapidly identify and process sensor data from the most relevant objects

* information listed above is at the time of submission.

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