TY - GEN
T1 - Tier-scalable reconnaissance
T2 - Micro- and Nanotechnology Sensors, Systems, and Applications IX 2017
AU - Fink, Wolfgang
AU - Brooks, Alexander J.W.
AU - Tarbell, Mark A.
AU - Dohm, James M.
N1 - Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - Autonomous reconnaissance missions are called for in extreme environments, as well as in potentially hazardous (e.g., the theatre, disaster-stricken areas, etc.) or inaccessible operational areas (e.g., planetary surfaces, space). Such future missions will require increasing degrees of operational autonomy, especially when following up on transient events. Operational autonomy encompasses: (1) Automatic characterization of operational areas from different vantages (i.e., spaceborne, airborne, surface, subsurface); (2) automatic sensor deployment and data gathering; (3) automatic feature extraction including anomaly detection and region-of-interest identification; (4) automatic target prediction and prioritization; (5) and subsequent automatic (re-)deployment and navigation of robotic agents. This paper reports on progress towards several aspects of autonomous C4ISR systems, including: Caltech-patented and NASA award-winning multi-tiered mission paradigm, robotic platform development (air, ground, water-based), robotic behavior motifs as the building blocks for autonomous tele-commanding, and autonomous decision making based on a Caltech-patented framework comprising sensor-data-fusion (feature-vectors), anomaly detection (clustering and principal component analysis), and target prioritization (hypothetical probing).
AB - Autonomous reconnaissance missions are called for in extreme environments, as well as in potentially hazardous (e.g., the theatre, disaster-stricken areas, etc.) or inaccessible operational areas (e.g., planetary surfaces, space). Such future missions will require increasing degrees of operational autonomy, especially when following up on transient events. Operational autonomy encompasses: (1) Automatic characterization of operational areas from different vantages (i.e., spaceborne, airborne, surface, subsurface); (2) automatic sensor deployment and data gathering; (3) automatic feature extraction including anomaly detection and region-of-interest identification; (4) automatic target prediction and prioritization; (5) and subsequent automatic (re-)deployment and navigation of robotic agents. This paper reports on progress towards several aspects of autonomous C4ISR systems, including: Caltech-patented and NASA award-winning multi-tiered mission paradigm, robotic platform development (air, ground, water-based), robotic behavior motifs as the building blocks for autonomous tele-commanding, and autonomous decision making based on a Caltech-patented framework comprising sensor-data-fusion (feature-vectors), anomaly detection (clustering and principal component analysis), and target prioritization (hypothetical probing).
KW - Autonomous C4ISR systems
KW - multi-tiered architectures
KW - navigational behavior motifs
KW - objective anomaly detection
KW - robotic agents
KW - sensor-data-fusion framework
KW - smart service systems
KW - target prioritization
UR - http://www.scopus.com/inward/record.url?scp=85024390183&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85024390183&partnerID=8YFLogxK
U2 - 10.1117/12.2257333
DO - 10.1117/12.2257333
M3 - Conference contribution
AN - SCOPUS:85024390183
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Micro- and Nanotechnology Sensors, Systems, and Applications IX
A2 - Dutta, Achyut K.
A2 - Islam, M. Saif
A2 - George, Thomas
PB - SPIE
Y2 - 9 April 2017 through 13 April 2017
ER -