Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic
Thomas Griebel,
Jonas Heinzler,
Michael Buchholz
et al.
Abstract:Operation monitoring for automation systems requires self-assessment of all data processing modules. In this work, we extend our new self-assessment method for linear Kalman filters based on subjective logic to nonlinear Kalman filtering. Furthermore, we propose novel approaches within this subjective logic-based framework to assess the overall filter performance in multi-sensor systems online, i.e., in real-time without ground truth data. The results of the proposed self-assessment method for nonlinear Kalman… Show more
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