Enabling self-configuration of fusion networks via scalable opportunistic sensor calibration

Murat Uney; Keith Copsey; Scott Page; Bernard Mulgrew; Paul Thomas

doi:10.1117/12.2303964

27 April 2018 Enabling self-configuration of fusion networks via scalable opportunistic sensor calibration

Murat Uney, Keith Copsey, Scott Page, Bernard Mulgrew, Paul Thomas

Proceedings Volume 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII; 106460P (2018) https://doi.org/10.1117/12.2303964
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

The range of applications in which sensor networks can be deployed depends heavily on the ease with which sensor locations/orientations can be registered and the accuracy of this process. We present a scalable strategy for algorithmic network calibration using sensor measurements from non-cooperative objects. Specifically, we use recently developed separable likelihoods in order to scale with the number of sensors whilst capturing the overall uncertainties. We demonstrate the efficacy of our self-configuration solution using a real network of radar and lidar sensors for perimeter protection and compare the accuracy achieved to manual calibration.

Conference Presentation

Citation Download Citation

Murat Uney, Keith Copsey, Scott Page, Bernard Mulgrew, and Paul Thomas "Enabling self-configuration of fusion networks via scalable opportunistic sensor calibration", Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 106460P (27 April 2018); https://doi.org/10.1117/12.2303964

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