Fully bayesian learning and spatial reasoning with flexible human sensor networks
ICCPS, pp. 80-89, 2015.
This work considers the challenging problem of simultaneous modeling and fusion of 'soft data' generated by a network of 'human sensors' for spatial state estimation tasks, such as lost target search or large area surveillance. Human sensors can opportunistically provide useful information to constrain difficult state estimation problems,...More
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