Nadaraya-Watson estimator for sensor fusion problems

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Description

The classical Nadaraya-Watson estimator is shown to solve a generic sensor fusion problem where the underlying sensor error densities are not known but a sample is available. By employing Haar kernels this estimator is shown to yield finite sample guarantees and also to be efficiently computable. Two simulation examples, and a robotics example involving the detection of a door using arrays of ultrasonic and infrared sensors, are presented to illustrate the performance.

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10 p.

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Rao, N.S.V. October 1, 1996.

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Description

The classical Nadaraya-Watson estimator is shown to solve a generic sensor fusion problem where the underlying sensor error densities are not known but a sample is available. By employing Haar kernels this estimator is shown to yield finite sample guarantees and also to be efficiently computable. Two simulation examples, and a robotics example involving the detection of a door using arrays of ultrasonic and infrared sensors, are presented to illustrate the performance.

Physical Description

10 p.

Notes

OSTI as DE97000472

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  • 1997 IEEE international conference on robotics and automation, Albuquerque, NM (United States), 21-25 Apr 1996

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  • Other: DE97000472
  • Report No.: CONF-9604177--1
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 390610
  • Archival Resource Key: ark:/67531/metadc676345

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  • October 1, 1996

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Jan. 19, 2016, 8:23 p.m.

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Rao, N.S.V. Nadaraya-Watson estimator for sensor fusion problems, article, October 1, 1996; Tennessee. (digital.library.unt.edu/ark:/67531/metadc676345/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.