Nadaraya-Watson estimator for sensor fusion problems
نویسنده
چکیده
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. Subject Terms: Sensor fusion, fusion rule estimation, empirical estimation, Nadaraya-?Vatson estimator.
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Nadaraya-Watson Estimator for Sensor Fusion
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