Mona Schirmer

Title: Mona Schirmer and Her Work on Recurrent Kalman Networks.

Introduction

Mona Schirmer is an inventor associated with Berlin, Germany, and Robert Bosch. Her patent work concerns a computer-implemented approach to processing sensor time-series data with a continuous discrete recurrent Kalman network.

Latest Patents

Schirmer is named on 1 patent: “Method and System for a Continuous Discrete Recurrent Kalman Network.” The method receives time-series input from one or more sensors at an encoder, which produces a latent observation and an uncertainty estimate. A Kalman filter then determines a latent state prior and posterior, and a decoder uses at least the posterior to produce a filtered observation.

Career Highlights

The patent describes a system that combines an encoder, a Kalman filter, and a decoder to process sensor observations over time. This approach is designed to account for uncertainty while estimating latent states and generating filtered observations.

Collaborations

Mazin Eltayeb and Maja Rudolph are identified as Schirmer’s coworkers. The available information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Mona Schirmer’s listed patent focuses on using a recurrent Kalman network to estimate latent states and filter sensor data, reflecting her documented innovation work associated with Robert Bosch.