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Summary of Applications
JIGSAW is a new way of turning
masses of sensory information into readily comprehensible maps.
JIGSAW automatically builds
spatial information. Given a set of signals, JIGSAW infers the spatial
arrangement of the signal sources through analysis of the signals
alone. JIGSAW can autonomously build a map of field sensors and merge
multiple camera images. Furthermore, by representing gaze-redirecting
actions as a type of signal, JIGSAW can calibrate actions to camera
images or spatial maps. This provides a robust foundation for spatial
competency in mobile robots.
The main application areas of JIGSAW are:
 Sensor networks
Robotics
Spatial data-mining
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