IPIN 2022 Beijing

For the twelfth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2022 - https://ipin-conference.org/2022/index.html) the chair members Andrea Jung, Paul Schwarzbach and Prof. Oliver Michler submitted a paper titled “Auto-Positioning in Radio-based Localization Systems: A Bayesian Approach“. Focus of the research was the development of a discrete bayesian approach to solve the task of robust auto-positioning compared to conventional Closed-Form methods for non-stationary and unknown network configurations, while lowering the requirements with regards to connectivity and availability of viable ranging measurements. The method was validated with a real-world proximate data foundation.

The findings of the paper were presented online at the conference by Andrea Jung.