Simultaneous Localization, Calibration, and Tracking in an ad Hoc Sensor Network

Simultaneous Localization, Calibration, and Tracking in an ad Hoc Sensor Network

We introduce Simultaneous Localization and Tracking (SLAT), the problem of tracking a target in a sensor network while simultaneously localizing and calibrating the nodes of the network. Our proposed solution, LaSLAT, is a Bayesian filter providing on-line probabilistic estimates of sensor locat...

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Bibliographic Details
Main Authors: Taylor, Christopher, Rahimi, Ali, Bachrach, Jonathan, Shrobe, Howard
Language:en_US
Published: 2005
Subjects:
AI
sensor network
localization
bayesian filter
extended kalman filter
Online Access:http://hdl.handle.net/1721.1/30541

Internet

http://hdl.handle.net/1721.1/30541

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