Learning the expected utility of sensors and algorithms Conference Paper

abstract

• A method is proposed which estimates the expected utility of a sensor being used in a sensor fusion framework. The resulting values are used to predict the subset of sensors which should be read to minimize the total cost of an observation cycle. Preliminary results from experiments taken with three sensors mounted on a mobile robot indicate that the method is indeed capable of reducing the average cost of an observation cycle, and that it is also capable of dynamically tracking conditions which change expected utility values.

name of conference

• Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems

authors

• Murphy, Robin

published proceedings

• Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems

author list (cited authors)

• Lindner, J., Murphy, R. R., & Nitz, E.

citation count

• 9

complete list of authors

• Lindner, J||Murphy, RR||Nitz, E

publication date

• January 1994

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/mfi.1994.398401

start page

• 583

end page

• 590

URL

• http://dx.doi.org/10.1109/mfi.1994.398401