3D Multispectral Vision System for Robotic Fire-Fighting Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-12-M-0391
Agency Tracking Number: N12A-021-0031
Amount: $79,897.00
Phase: Phase I
Program: STTR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: N12A-T021
Solicitation Number: 2012.A
Small Business Information
2501 Earl Rudder Freeway South, College Station, TX, -
DUNS: 184758308
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Tony Ragucci
 Group Leader
 (979) 764-2200
Business Contact
 G. Hisaw
Title: Sr. Contracts Administrat
Phone: (979) 764-2218
Email: renee.hisaw@lynntech.com
Research Institution
 Carnegie Mellon University
 Robert Kearns
 5000 Forbes Avenue
Pittsburgh, PA, 15213-3890
 (412) 268-5837
 Nonprofit college or university
Advancements in humanoid robotics led the U.S. Navy to recognize the potential for humanoid robotic fire-fighting systems such as the Shipboard Autonomous Fire Fighting Robot (SAFFiR) to address the dangerous task of onboard fire suppression and reduce costly time-to-response. A vision subsystem capable of imaging through low-visibility fire smoke and generating a 3D model of the local environment is an essential enabling technology for such a robotic firefighter. Typical stereo-pair camera techniques might be applied but visible imagery is obfuscated by smoke and infrared imagery poorly conveys edge detail and clear geometry definition in extreme thermal environments. LADAR is inhibited by scattering from smoke particles. Lynntech"s 3D Multispectral Vision System for robotic fire-fighting systems fuses smoke-penetrating LiDAR, thermal infrared, and visible imagery data to generate a geometrically-accurate model of the environment with surface-temperature data in real time. This unique combination of sensing modalities addresses the challenges imposed by a shipboard fire scenario and provides unprecedented situational awareness for operation in such environments.

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

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