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2009
IEEE

Path planning for data assimilation in mobile environmental monitoring systems

9 years 1 days ago
Path planning for data assimilation in mobile environmental monitoring systems
— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile sensor paths to sample continuous fields. Agent trajectories are developed that specifically take into account the fact that data collected will be used for near real-time assimilation with large predictive models. This aspect of the problem has significant implications because the trajectories generated are very different from those which do not take the assimilation step into account, and their performance in controlling error is notably better.
Franz S. Hover
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where IROS
Authors Franz S. Hover
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